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Part 1. Definition
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Part 2. Example
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Answer: foxes
Explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Part 3. Exercise
Sentence: I tried to paint a picture of an orchard, with lemons in the lemon trees, but they came out looking more like light bulbs. Question: What looked like light bulbs?
Answer: | trees | 7 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Ex Input:
Sentence: I put the cake away in the refrigerator. It has a lot of leftovers in it. Question: What has a lot of leftovers?
Ex Output:
cake
Ex Input:
Sentence: Emma's mother had died long ago, and her place by an excellent woman as governess. Question: Whose place?
Ex Output:
Emma's
Ex Input:
Sentence: Bill passed the gameboy to John because his turn was next. Question: Whose turn was next?
Ex Output:
| Bill's
| 1 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example input: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Example output: foxes
Example explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Q: Sentence: Fred is the only man alive who still remembers my father as an infant. When Fred first saw my father, he was twelve months old. Question: Who was twelve months old?
A: | Fred | 3 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Detailed Instructions: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
See one example below:
Problem: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Problem: Sentence: Beth didn't get angry with Sally, who had cut her off, because she stopped and apologized. Question: Who apologized?
Solution: | Beth | 4 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Input: Consider Input: Sentence: There are too many deer in the park, so the park service brought in a small pack of wolves. The population should decrease over the next few years. Question: Which population will decrease?
Output: wolves
Input: Consider Input: Sentence: Lily spoke to Donna, breaking her concentration. Question: Whose concentration?
Output: Lily's
Input: Consider Input: Sentence: The journalists interviewed the stars of the new movie. They were very persistent, so the interview lasted for a long time. Question: Who was persistent?
| Output: stars
| 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example input: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Example output: foxes
Example explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Q: Sentence: The journalists interviewed the stars of the new movie. They were very persistent, so the interview lasted for a long time. Question: Who was persistent?
A: | stars | 3 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Input: Consider Input: Sentence: We had hoped to place copies on all the chairs in the auditorium, but there were simply too many of them. Question: There are not enough of what?
Output: chairs
Input: Consider Input: Sentence: Dan took the rear seat while Bill claimed the front because his "Dibs!" was slow. Question: Whose "Dibs" was slow?
Output: Bill's
Input: Consider Input: Sentence: Joe saw his brother skiing on TV last night but the fool didn't have a coat on Question: Who is the fool?
| Output: Joe
| 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Let me give you an example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
The answer to this example can be: foxes
Here is why: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
OK. solve this:
Sentence: As Ollie carried Tommy up the long winding steps, his legs dangled. Question: Whose legs dangled?
Answer: | Ollie | 8 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Sentence: The scientists are studying three species of fish that have recently been found living in the Indian Ocean. They began two years ago. Question: Who or what began two years ago?
fish
Sentence: Kirilov ceded the presidency to Shatov because he was less popular. Question: Who was less popular?
Shatov
Sentence: The scientists are studying three species of fish that have recently been found living in the Indian Ocean. They appeared two years ago. Question: Who or what appeared two years ago?
| scientists
| 0 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Example solution: foxes
Example explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Problem: Sentence: There are too many deer in the park, so the park service brought in a small pack of wolves. The population should decrease over the next few years. Question: Which population will decrease?
| Solution: wolves | 5 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Why? The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
New input: Sentence: When Tommy dropped his ice cream, Timmy giggled, so father gave him a stern look. Question: Who got the look from father?
Solution: | Tommy | 0 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Q: Sentence: Dan had to stop Bill from toying with the injured bird. He is very cruel. Question: Who is cruel?
A: Dan
****
Q: Sentence: Bill passed the half-empty plate to John because he was hungry. Question: Who was hungry?
A: Bill
****
Q: Sentence: When Tommy dropped his ice cream, Timmy giggled, so father gave him a stern look. Question: Who got the look from father?
A: | Tommy
****
| 4 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Detailed Instructions: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
See one example below:
Problem: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Problem: Sentence: I stuck a pin through a carrot. When I pulled the pin out, it had a hole. Question: What had a hole?
Solution: | pin | 4 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Detailed Instructions: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
See one example below:
Problem: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Problem: Sentence: The man lifted the boy onto his shoulders. Question: Whose shoulders?
Solution: | boy's | 4 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Let me give you an example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
The answer to this example can be: foxes
Here is why: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
OK. solve this:
Sentence: The archaeologists have concluded that neanderthals lived in Laputa 20,000 years ago. They hunted for evidence on the river banks. Question: Who hunted for evidence?
Answer: | neanderthals | 8 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Teacher: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Reason: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Now, solve this instance: Sentence: The doctor informed Kate that she had cancer and presented several options for future treatment. Question: Who had cancer?
Student: | doctor | 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
TASK DEFINITION: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
PROBLEM: Sentence: The father carried the sleeping boy in his bassinet. Question: Whose bassinet?
SOLUTION: father
PROBLEM: Sentence: Alice looked for her friend Jade in the crowd. Since she always has good luck, Alice spotted her quickly. Question: Who always has good luck
SOLUTION: Jade
PROBLEM: Sentence: The archaeologists have concluded that neanderthals lived in Laputa 20,000 years ago. They hunted for evidence on the river banks. Question: Who hunted for evidence?
SOLUTION: | neanderthals
| 8 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Teacher: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Reason: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Now, solve this instance: Sentence: Tom said "Check" to Ralph as he took his bishop. Question: Who owned the bishop that Tom took?
Student: | Tom | 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
[Q]: Sentence: James asked Robert for a favor but he was refused. Question: Who was refused?
[A]: Robert
[Q]: Sentence: Fred is the only man alive who still remembers my father as an infant. When Fred first saw my father, he was twelve years old. Question: Who was twelve years old?
[A]: father
[Q]: Sentence: Tom said "Check" to Ralph as he took his bishop. Question: Who owned the bishop that Tom took?
[A]: | Tom
| 5 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Sentence: The woman held the girl against her chest. Question: Whose chest?
girl's
Sentence: The journalists interviewed the stars of the new movie. They were very cooperative, so the interview lasted for a long time. Question: Who was cooperative?
journalists
Sentence: When the sponsors of the bill got to the town hall, they were surprised to find that the room was full of opponents. They were very much in the majority. Question: Who were in the majority?
| sponsors
| 0 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Teacher: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Reason: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Now, solve this instance: Sentence: Fred is the only man alive who still remembers my father as an infant. When Fred first saw my father, he was twelve years old. Question: Who was twelve years old?
Student: | father | 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Output: foxes
The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
New input case for you: Sentence: Joe paid the detective after he delivered the final report on the case. Question: Who delivered the final report?
Output: | Joe | 1 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Let me give you an example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
The answer to this example can be: foxes
Here is why: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
OK. solve this:
Sentence: Bill passed the gameboy to John because his turn was next. Question: Whose turn was next?
Answer: | Bill's | 8 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example Input: Sentence: The police arrested all of the criminals. They were trying to stop the drug trade in the neighborhood. Question: Who was trying to stop the drug trade?
Example Output: criminals
Example Input: Sentence: Kirilov ceded the presidency to Shatov because he was less popular. Question: Who was less popular?
Example Output: Shatov
Example Input: Sentence: Fred is the only man alive who still remembers my father as an infant. When Fred first saw my father, he was twelve months old. Question: Who was twelve months old?
Example Output: | Fred
| 3 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Q: Sentence: During a game of tag, Ethan ran from Luke because he was "it". Question: Who was "it"?
A: Ethan
****
Q: Sentence: Carol believed that Rebecca regretted that she had stolen the watch. Question: Who is stole the watch?
A: Carol
****
Q: Sentence: Beth didn't get angry with Sally, who had cut her off, because she stopped and apologized. Question: Who apologized?
A: | Beth
****
| 4 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
One example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution is here: foxes
Explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Now, solve this: Sentence: Grace was happy to trade me her sweater for my jacket. She thinks it looks dowdy on her. Question: What looks dowdy on Grace?
Solution: | jacket | 6 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Teacher: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Reason: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Now, solve this instance: Sentence: Joe saw his brother skiing on TV last night but the fool didn't have a coat on Question: Who is the fool?
Student: | Joe | 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Why? The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
New input: Sentence: There are too many deer in the park, so the park service brought in a small pack of wolves. The population should increase over the next few years. Question: Which population will increase?
Solution: | deer | 0 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Output: foxes
The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
New input case for you: Sentence: John promised Bill to leave, so an hour later he left. Question: Who left?
Output: | Bill | 1 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Teacher: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Reason: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Now, solve this instance: Sentence: I couldn't find a spoon, so I tried using a pen to stir my coffee. But that turned out to be a bad idea, because it got full of coffee. Question: What got full of coffee?
Student: | coffee | 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Teacher: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Reason: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Now, solve this instance: Sentence: Beth didn't get angry with Sally, who had cut her off, because she stopped and counted to ten. Question: Who counted to ten?
Student: | Sally | 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Detailed Instructions: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
See one example below:
Problem: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Problem: Sentence: Emma did not pass the ball to Janie although she saw that she was open. Question: Who saw that the other player was open?
Solution: | Janie | 4 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
instruction:
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
question:
Sentence: In July, Kamtchatka declared war on Yakutsk. Since Yakutsk's army was much better equipped and ten times larger, they were victorious within weeks. Question: Who was victorious
answer:
Kamchatka
question:
Sentence: The woman held the girl against her chest. Question: Whose chest?
answer:
girl's
question:
Sentence: When the sponsors of the bill got to the town hall, they were surprised to find that the room was full of opponents. They were very much in the minority. Question: Who were in the minority?
answer:
| opponents
| 9 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Ex Input:
Sentence: The archaeologists have concluded that neanderthals lived in Laputa 20,000 years ago. They hunted for evidence on the river banks. Question: Who hunted for evidence?
Ex Output:
neanderthals
Ex Input:
Sentence: Jane knocked on Susan's door but she did not get an answer. Question: Who did not get an answer?
Ex Output:
Susan
Ex Input:
Sentence: John promised Bill to leave, so an hour later he left. Question: Who left?
Ex Output:
| Bill
| 1 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example Input: Sentence: The doctor informed Kate that she had cancer and presented several options for future treatment. Question: Who had cancer?
Example Output: doctor
Example Input: Sentence: Jim signaled the barman and gestured toward his empty glass. Question: Whose empty glass?
Example Output: barman's
Example Input: Sentence: Lily spoke to Donna, breaking her concentration. Question: Whose concentration?
Example Output: | Lily's
| 3 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Example solution: foxes
Example explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Problem: Sentence: When the sponsors of the bill got to the town hall, they were surprised to find that the room was full of opponents. They were very much in the minority. Question: Who were in the minority?
| Solution: opponents | 5 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
instruction:
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
question:
Sentence: Alice looked for her friend Jade in the crowd. Since she always wears a red turban, Alice spotted her quickly. Question: Who always wears a red turban
answer:
Alice
question:
Sentence: Jane knocked on Susan's door but she did not answer. Question: Who did not answer?
answer:
Jane
question:
Sentence: As Ollie carried Tommy up the long winding steps, his legs ached. Question: Whose legs ached?
answer:
| Tommy
| 9 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Teacher: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Reason: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Now, solve this instance: Sentence: Alice looked for her friend Jade in the crowd. Since she always wears a red turban, Alice spotted her quickly. Question: Who always wears a red turban
Student: | Alice | 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
One example is below.
Q: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
A: foxes
Rationale: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Q: Sentence: Esther figures that she will save shipping costs if she builds her factory in Springfield instead of Franklin, because none of her customers live there. Question: In which town do none of Esther's customers live?
A: | Springfield | 9 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
instruction:
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
question:
Sentence: The father carried the sleeping boy in his bassinet. Question: Whose bassinet?
answer:
father
question:
Sentence: The scientists are studying three species of fish that have recently been found living in the Indian Ocean. They began two years ago. Question: Who or what began two years ago?
answer:
fish
question:
Sentence: Sam broke both his ankles and he's walking with crutches. But a month or so from now they should be better. Question: What should be better?
answer:
| crutches
| 9 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Why? The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
New input: Sentence: During a game of tag, Ethan ran from Luke because he was "it". Question: Who was "it"?
Solution: | Ethan | 0 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
--------
Question: Sentence: Jim signaled the barman and gestured toward his bathroom key. Question: Whose bathroom key?
Answer: Jim's
Question: Sentence: Bill passed the gameboy to John because his turn was over. Question: Whose turn was over?
Answer: John's
Question: Sentence: John ordered Bill to leave, so an hour later he left. Question: Who left?
Answer: | John
| 7 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example input: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Example output: foxes
Example explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Q: Sentence: During a game of tag, Ethan chased Luke because he was "it". Question: Who was "it"?
A: | Luke | 3 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
[Q]: Sentence: Carol believed that Rebecca suspected that she had stolen the watch. Question: Who is suspected of stealing the watch?
[A]: Rebecca
[Q]: Sentence: Emma's mother had died long ago, and her education] had been [taken by an excellent woman as governess. Question: Whose education] had been [taken?
[A]: mother's
[Q]: Sentence: During a game of tag, Ethan chased Luke because he was "it". Question: Who was "it"?
[A]: | Luke
| 5 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Let me give you an example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
The answer to this example can be: foxes
Here is why: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
OK. solve this:
Sentence: Jane knocked on Susan's door but she did not get an answer. Question: Who did not get an answer?
Answer: | Susan | 8 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
[EX Q]: Sentence: Joe paid the detective after he received the final report on the case. Question: Who received the final report?
[EX A]: detective
[EX Q]: Sentence: Bill passed the half-empty plate to John because he was full. Question: Who was full?
[EX A]: John
[EX Q]: Sentence: I put the cake away in the refrigerator. It has a lot of butter in it. Question: What has a lot of butter?
[EX A]: | refrigerator
| 6 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
[EX Q]: Sentence: Tom said "Check" to Ralph as he took his bishop. Question: Who owned the bishop that Tom took?
[EX A]: Tom
[EX Q]: Sentence: The man lifted the boy onto his bunk bed. Question: Whose bunk bed?
[EX A]: man's
[EX Q]: Sentence: Sam Goodman's biography of the Spartan general Xenophanes conveys a vivid sense of the difficulties he faced in his research. Question: Who faced difficulties?
[EX A]: | Xenophanes
| 6 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Why? The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
New input: Sentence: Billy cried because Toby wouldn't share his toy. Question: Who owned the toy?
Solution: | Billy | 0 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Why? The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
New input: Sentence: Bill thinks that calling attention to himself was rude to Bert. Question: Who called attention to himself?
Solution: | Bert | 0 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
[Q]: Sentence: Fred is the only man alive who still remembers my father as an infant. When Fred first saw my father, he was twelve months old. Question: Who was twelve months old?
[A]: Fred
[Q]: Sentence: As Andrea in the crop duster passed over Susan, she could see the landing strip. Question: Who could see the landing strip?
[A]: Susan
[Q]: Sentence: In July, Kamtchatka declared war on Yakutsk. Since Yakutsk's army was much better equipped and ten times larger, they were victorious within weeks. Question: Who was victorious
[A]: | Kamchatka
| 5 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Teacher: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Reason: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Now, solve this instance: Sentence: Jane knocked on Susan's door but she did not answer. Question: Who did not answer?
Student: | Jane | 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Output: foxes
The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
New input case for you: Sentence: Joe paid the detective after he received the final report on the case. Question: Who received the final report?
Output: | detective | 1 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Output: foxes
The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
New input case for you: Sentence: When Tommy dropped his ice cream, Timmy giggled, so father gave him a sympathetic look. Question: Who got the look from father?
Output: | Timmy | 1 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Input: Consider Input: Sentence: Grace was happy to trade me her sweater for my jacket. She thinks it looks dowdy on her. Question: What looks dowdy on Grace?
Output: jacket
Input: Consider Input: Sentence: In July, Kamtchatka declared war on Yakutsk. Since Yakutsk's army was much better equipped and ten times larger, they were victorious within weeks. Question: Who was victorious
Output: Kamchatka
Input: Consider Input: Sentence: Elizabeth moved her company from Sparta to Troy to save money on taxes; the taxes are much lower there. Question: Where are the taxes lower?
| Output: Sparta
| 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Part 1. Definition
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Part 2. Example
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Answer: foxes
Explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Part 3. Exercise
Sentence: The police arrested all of the criminals. They were trying to stop the drug trade in the neighborhood. Question: Who was trying to stop the drug trade?
Answer: | criminals | 7 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Let me give you an example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
The answer to this example can be: foxes
Here is why: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
OK. solve this:
Sentence: Bill passed the gameboy to John because his turn was over. Question: Whose turn was over?
Answer: | John's | 8 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Teacher: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Reason: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Now, solve this instance: Sentence: Patting her back, the woman smiled at the girl. Question: Whose back was the woman patting?
Student: | woman's | 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Part 1. Definition
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Part 2. Example
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Answer: foxes
Explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Part 3. Exercise
Sentence: The father carried the sleeping boy in his bassinet. Question: Whose bassinet?
Answer: | father | 7 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Input: Consider Input: Sentence: Tom gave Ralph a lift to school so he wouldn't have to drive alone. Question: Who wouldn't have to drive alone?
Output: Ralph
Input: Consider Input: Sentence: The father carried the sleeping boy in his arms. Question: Whose arms?
Output: boy
Input: Consider Input: Sentence: Carol believed that Rebecca suspected that she had stolen the watch. Question: Who is suspected of stealing the watch?
| Output: Rebecca
| 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
One example is below.
Q: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
A: foxes
Rationale: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Q: Sentence: The scientists are studying three species of fish that have recently been found living in the Indian Ocean. They appeared two years ago. Question: Who or what appeared two years ago?
A: | scientists | 9 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
--------
Question: Sentence: The table won't fit through the doorway because it is too wide. Question: What is too wide?
Answer: doorway
Question: Sentence: The woman held the girl against her chest. Question: Whose chest?
Answer: girl's
Question: Sentence: Grace was happy to trade me her sweater for my jacket. She thinks it looks great on her. Question: What looks great on Grace?
Answer: | sweater
| 7 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Input: Consider Input: Sentence: Esther figures that she will save shipping costs if she builds her factory in Springfield instead of Franklin, because most of her customers live there. Question: In which town do most of Esther's customers live?
Output: Franklin
Input: Consider Input: Sentence: Carol believed that Rebecca suspected that she had stolen the watch. Question: Who is suspected of stealing the watch?
Output: Rebecca
Input: Consider Input: Sentence: Lily spoke to Donna, breaking her silence. Question: Whose silence?
| Output: Donna's
| 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Output: foxes
The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
New input case for you: Sentence: I couldn't find a spoon, so I tried using a pen to stir my coffee. But that turned out to be a bad idea, because it got full of ink. Question: What got full of ink?
Output: | pen | 1 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Output: foxes
The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
New input case for you: Sentence: Bill thinks that calling attention to himself was rude of Bert. Question: Who called attention to himself?
Output: | Bill | 1 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
--------
Question: Sentence: Everyone really loved the oatmeal cookies; only a few people liked the snickerdoodle cookies. Next time, we should make more of them. Question: Which cookie should we make more of, next time?
Answer: snickerdoodle
Question: Sentence: The doctor informed Kate that she had cancer and presented several options for future treatment. Question: Who had cancer?
Answer: doctor
Question: Sentence: Bill thinks that calling attention to himself was rude of Bert. Question: Who called attention to himself?
Answer: | Bill
| 7 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Sentence: The doctor informed Kate that she had cancer and presented several options for future treatment. Question: Who had cancer?
doctor
Sentence: In July, Kamtchatka declared war on Yakutsk. Since Yakutsk's army was much better equipped and ten times larger, they were defeated within weeks. Question: Who was defeated
Yakutsk
Sentence: Esther figures that she will save shipping costs if she builds her factory in Springfield instead of Franklin, because most of her customers live there. Question: In which town do most of Esther's customers live?
| Franklin
| 0 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Output: foxes
The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
New input case for you: Sentence: Emma did not pass the ball to Janie although she was open. Question: Who was open?
Output: | Emma | 1 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
[Q]: Sentence: Elizabeth moved her company from Sparta to Troy to save money on taxes; the taxes are much lower there. Question: Where are the taxes lower?
[A]: Sparta
[Q]: Sentence: Fred is the only man alive who still remembers my father as an infant. When Fred first saw my father, he was twelve months old. Question: Who was twelve months old?
[A]: Fred
[Q]: Sentence: Emma did not pass the ball to Janie although she was open. Question: Who was open?
[A]: | Emma
| 5 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Example solution: foxes
Example explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Problem: Sentence: In July, Kamtchatka declared war on Yakutsk. Since Yakutsk's army was much better equipped and ten times larger, they were defeated within weeks. Question: Who was defeated
| Solution: Yakutsk | 5 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
One example is below.
Q: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
A: foxes
Rationale: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Q: Sentence: Tom gave Ralph a lift to school so he wouldn't have to drive alone. Question: Who wouldn't have to drive alone?
A: | Ralph | 9 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
instruction:
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
question:
Sentence: There are too many deer in the park, so the park service brought in a small pack of wolves. The population should increase over the next few years. Question: Which population will increase?
answer:
deer
question:
Sentence: Tom said "Check" to Ralph as he took his bishop. Question: Who owned the bishop that Tom took?
answer:
Tom
question:
Sentence: Tom gave Ralph a lift to school so he wouldn't have to drive alone. Question: Who wouldn't have to drive alone?
answer:
| Ralph
| 9 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Why? The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
New input: Sentence: Sam Goodman's biography of the Spartan general Xenophanes conveys a vivid sense of the difficulties he faced in his childhood. Question: Who faced difficulties?
Solution: | Sam | 0 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
instruction:
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
question:
Sentence: Joe paid the detective after he received the final report on the case. Question: Who received the final report?
answer:
detective
question:
Sentence: Kirilov ceded the presidency to Shatov because he was less popular. Question: Who was less popular?
answer:
Shatov
question:
Sentence: Everyone really loved the oatmeal cookies; only a few people liked the snickerdoodle cookies. Next time, we should make more of them. Question: Which cookie should we make more of, next time?
answer:
| snickerdoodle
| 9 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Q: Sentence: The archaeologists have concluded that neanderthals lived in Laputa 20,000 years ago. They hunted for deer on the river banks. Question: Who hunted for deer?
A: archaeologists
****
Q: Sentence: The doctor informed Kate that she had retired and presented several options for future treatment. Question: Who had retired?
A: Kate
****
Q: Sentence: The father carried the sleeping boy in his arms. Question: Whose arms?
A: | boy
****
| 4 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
--------
Question: Sentence: The woman held the girl against her will. Question: Whose will?
Answer: woman's
Question: Sentence: When the sponsors of the bill got to the town hall, they were surprised to find that the room was full of opponents. They were very much in the minority. Question: Who were in the minority?
Answer: opponents
Question: Sentence: We had hoped to place copies on all the chairs in the auditorium, but there were simply not enough of them. Question: There are too many of what?
Answer: | copies
| 7 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Sentence: Jim signaled the barman and gestured toward his bathroom key. Question: Whose bathroom key?
Jim's
Sentence: During a game of tag, Ethan ran from Luke because he was "it". Question: Who was "it"?
Ethan
Sentence: Elizabeth moved her company from Sparta to Troy to save money on taxes; the taxes are much higher there. Question: Where are the taxes higher?
| Troy
| 0 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Sentence: Jane knocked on Susan's door but she did not get an answer. Question: Who did not get an answer?
Susan
Sentence: During a game of tag, Ethan chased Luke because he was "it". Question: Who was "it"?
Luke
Sentence: The archaeologists have concluded that neanderthals lived in Laputa 20,000 years ago. They hunted for deer on the river banks. Question: Who hunted for deer?
| archaeologists
| 0 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example input: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Example output: foxes
Example explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Q: Sentence: Joe saw his brother skiing on TV last night but the fool didn't recognize him Question: Who is the fool?
A: | brother | 3 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
[EX Q]: Sentence: Beth didn't get angry with Sally, who had cut her off, because she stopped and counted to ten. Question: Who counted to ten?
[EX A]: Sally
[EX Q]: Sentence: Joe paid the detective after he delivered the final report on the case. Question: Who delivered the final report?
[EX A]: Joe
[EX Q]: Sentence: Bill passed the half-empty plate to John because he was full. Question: Who was full?
[EX A]: | John
| 6 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example Input: Sentence: Elizabeth moved her company from Sparta to Troy to save money on taxes; the taxes are much lower there. Question: Where are the taxes lower?
Example Output: Sparta
Example Input: Sentence: The woman held the girl against her chest. Question: Whose chest?
Example Output: girl's
Example Input: Sentence: As Andrea in the crop duster passed over Susan, she could see the landing gear. Question: Who could see the landing gear?
Example Output: | Andrea
| 3 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
[Q]: Sentence: Billy cried because Toby wouldn't share his toy. Question: Who owned the toy?
[A]: Billy
[Q]: Sentence: The woman held the girl against her chest. Question: Whose chest?
[A]: girl's
[Q]: Sentence: The scientists are studying three species of fish that have recently been found living in the Indian Ocean. They began two years ago. Question: Who or what began two years ago?
[A]: | fish
| 5 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
One example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution is here: foxes
Explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Now, solve this: Sentence: Sam broke both his ankles and he's walking with crutches. But a month or so from now they should be unnecessary. Question: What should be unnecessary?
Solution: | ankles | 6 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
instruction:
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
question:
Sentence: Bill passed the half-empty plate to John because he was full. Question: Who was full?
answer:
John
question:
Sentence: Jane knocked on Susan's door but she did not answer. Question: Who did not answer?
answer:
Jane
question:
Sentence: Sam broke both his ankles and he's walking with crutches. But a month or so from now they should be unnecessary. Question: What should be unnecessary?
answer:
| ankles
| 9 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example Input: Sentence: The man lifted the boy onto his bunk bed. Question: Whose bunk bed?
Example Output: man's
Example Input: Sentence: The table won't fit through the doorway because it is too narrow. Question: What is too narrow?
Example Output: table
Example Input: Sentence: I couldn't find a spoon, so I tried using a pen to stir my coffee. But that turned out to be a bad idea, because it got full of coffee. Question: What got full of coffee?
Example Output: | coffee
| 3 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Input: Consider Input: Sentence: Carol believed that Rebecca suspected that she had stolen the watch. Question: Who is suspected of stealing the watch?
Output: Rebecca
Input: Consider Input: Sentence: Everyone really loved the oatmeal cookies; only a few people liked the snickerdoodle cookies. Next time, we should make more of them. Question: Which cookie should we make more of, next time?
Output: snickerdoodle
Input: Consider Input: Sentence: Tom said "Check" to Ralph as he moved his bishop. Question: Who owned the bishop that Tom moved?
| Output: Ralph
| 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example Input: Sentence: John ordered Bill to leave, so an hour later he left. Question: Who left?
Example Output: John
Example Input: Sentence: Sam Goodman's biography of the Spartan general Xenophanes conveys a vivid sense of the difficulties he faced in his childhood. Question: Who faced difficulties?
Example Output: Sam
Example Input: Sentence: Emma did not pass the ball to Janie although she saw that she was open. Question: Who saw that the other player was open?
Example Output: | Janie
| 3 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
[Q]: Sentence: Tom said "Check" to Ralph as he took his bishop. Question: Who owned the bishop that Tom took?
[A]: Tom
[Q]: Sentence: In July, Kamtchatka declared war on Yakutsk. Since Yakutsk's army was much better equipped and ten times larger, they were defeated within weeks. Question: Who was defeated
[A]: Yakutsk
[Q]: Sentence: Dan had to stop Bill from toying with the injured bird. He is very cruel. Question: Who is cruel?
[A]: | Dan
| 5 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Teacher: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Reason: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Now, solve this instance: Sentence: The father carried the sleeping boy in his arms. Question: Whose arms?
Student: | boy | 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Teacher: In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution: foxes
Reason: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Now, solve this instance: Sentence: We had hoped to place copies on all the chairs in the auditorium, but there were simply not enough of them. Question: There are too many of what?
Student: | copies | 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Example solution: foxes
Example explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Problem: Sentence: Dan took the rear seat while Bill claimed the front because his "Dibs!" was slow. Question: Whose "Dibs" was slow?
| Solution: Bill's | 5 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Ex Input:
Sentence: The father carried the sleeping boy in his arms. Question: Whose arms?
Ex Output:
boy
Ex Input:
Sentence: Dan had to stop Bill from toying with the injured bird. He is very compassionate. Question: Who is compassionate?
Ex Output:
Bill
Ex Input:
Sentence: Dan took the rear seat while Bill claimed the front because his "Dibs!" was slow. Question: Whose "Dibs" was slow?
Ex Output:
| Bill's
| 1 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Let me give you an example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
The answer to this example can be: foxes
Here is why: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
OK. solve this:
Sentence: Elizabeth moved her company from Sparta to Troy to save money on taxes; the taxes are much higher there. Question: Where are the taxes higher?
Answer: | Troy | 8 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
Part 1. Definition
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Part 2. Example
Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Answer: foxes
Explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Part 3. Exercise
Sentence: As Andrea in the crop duster passed over Susan, she could see the landing strip. Question: Who could see the landing strip?
Answer: | Susan | 7 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Input: Consider Input: Sentence: Joe paid the detective after he received the final report on the case. Question: Who received the final report?
Output: detective
Input: Consider Input: Sentence: Sam broke both his ankles and he's walking with crutches. But a month or so from now they should be unnecessary. Question: What should be unnecessary?
Output: ankles
Input: Consider Input: Sentence: Alice looked for her friend Jade in the crowd. Since she always wears a red turban, Alice spotted her quickly. Question: Who always wears a red turban
| Output: Alice
| 2 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
[Q]: Sentence: Jane knocked on Susan's door but she did not answer. Question: Who did not answer?
[A]: Jane
[Q]: Sentence: Tom said "Check" to Ralph as he moved his bishop. Question: Who owned the bishop that Tom moved?
[A]: Ralph
[Q]: Sentence: As Andrea in the crop duster passed over Susan, she could see the landing strip. Question: Who could see the landing strip?
[A]: | Susan
| 5 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
One example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
Solution is here: foxes
Explanation: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
Now, solve this: Sentence: Jim signaled the barman and gestured toward his bathroom key. Question: Whose bathroom key?
Solution: | Jim's | 6 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Q: Sentence: As Ollie carried Tommy up the long winding steps, his legs dangled. Question: Whose legs dangled?
A: Ollie
****
Q: Sentence: The doctor informed Kate that she had retired and presented several options for future treatment. Question: Who had retired?
A: Kate
****
Q: Sentence: Jim signaled the barman and gestured toward his bathroom key. Question: Whose bathroom key?
A: | Jim's
****
| 4 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Example Input: Sentence: The archaeologists have concluded that neanderthals lived in Laputa 20,000 years ago. They hunted for deer on the river banks. Question: Who hunted for deer?
Example Output: archaeologists
Example Input: Sentence: In July, Kamtchatka declared war on Yakutsk. Since Yakutsk's army was much better equipped and ten times larger, they were victorious within weeks. Question: Who was victorious
Example Output: Kamchatka
Example Input: Sentence: The table won't fit through the doorway because it is too wide. Question: What is too wide?
Example Output: | doorway
| 3 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Ex Input:
Sentence: Kirilov ceded the presidency to Shatov because he was more popular. Question: Who was more popular?
Ex Output:
Kirilov
Ex Input:
Sentence: Bill passed the half-empty plate to John because he was full. Question: Who was full?
Ex Output:
John
Ex Input:
Sentence: Emma's mother had died long ago, and her place by an excellent woman as governess. Question: Whose place?
Ex Output:
| Emma's
| 1 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
In this task, based on the given sentence and the question, you are asked to generate an incorrect answer. The incorrect answer has to be a text span from the given sentence. Note that, the correct answer to the given question will require understanding of coreference resolution. Coreference resolution is the task of clustering mentions in text that refer to the same underlying real world entities. For example let's take a sentence 'I voted for Obama because he was most aligned with my values, she said.' Here in this example 'I', 'my', and 'she' belong to the same cluster and 'Obama' and 'he' belong to the same cluster. Now let's discuss another example , original sentence: 'I voted for Trump because he was most aligned with my values',John said. Now here is the same sentence with resolved coreferences: 'John voted for Trump because Trump was most aligned with John's values',John said.
Let me give you an example: Sentence: The foxes are getting in at night and attacking the chickens. I shall have to guard them. Question: What do I have to guard?
The answer to this example can be: foxes
Here is why: The given sentence clearly states that the foxes are getting in at night and attacking the chickens and these chickens need to guarded. Therefore, the answer is chickens. This is a positive example as the answer foxes is incorrect and incomplete.
OK. solve this:
Sentence: I put the cake away in the refrigerator. It has a lot of butter in it. Question: What has a lot of butter?
Answer: | refrigerator | 8 | NIv2 | task492_mwsc_incorrect_answer_generation | fs_opt |
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