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You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution is here: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Now, solve this: Sentence: Jim signaled the barman and gestured toward his empty glass.
Solution: | Whose empty glass? | 6 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Bill passed the half-empty plate to John because he was full.
Output: Who was full?
Input: Consider Input: Sentence: When Tommy dropped his ice cream, Timmy giggled, so father gave him a sympathetic look.
Output: Who got the look from father?
Input: Consider Input: Sentence: Dan took the rear seat while Bill claimed the front because his "Dibs!" was quicker.
| Output: Whose "Dibs" was quicker?
| 2 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Bill thinks that calling attention to himself was rude of Bert.
Example Output: Who called attention to himself?
Example Input: Sentence: As Ollie carried Tommy up the long winding steps, his legs dangled.
Example Output: Whose legs dangled?
Example Input: Sentence: Joe paid the detective after he received the final report on the case.
Example Output: | Who received the final report?
| 3 | NIv2 | task489_mwsc_question_generation | fs_opt |
TASK DEFINITION: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Grace was happy to trade me her sweater for my jacket. She thinks it looks dowdy on her.
SOLUTION: What looks dowdy on Grace?
PROBLEM: Sentence: I stuck a pin through a carrot. When I pulled the pin out, it left a hole.
SOLUTION: What left a hole?
PROBLEM: Sentence: Stretching her back, the woman smiled at the girl.
SOLUTION: | Whose back was the woman stretching?
| 8 | NIv2 | task489_mwsc_question_generation | fs_opt |
Detailed Instructions: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Problem: Sentence: Everyone really loved the oatmeal cookies; only a few people liked the snickerdoodle cookies. Next time, we should make more of them.
Solution: | Which cookie should we make more of, next time? | 4 | NIv2 | task489_mwsc_question_generation | fs_opt |
TASK DEFINITION: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: 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.
SOLUTION: In which town do none of Esther's customers live?
PROBLEM: Sentence: We had hoped to place copies on all the chairs in the auditorium, but there were simply not enough of them.
SOLUTION: There are too many of what?
PROBLEM: Sentence: Jane knocked on Susan's door but she did not answer.
SOLUTION: | Who did not answer?
| 8 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Bill passed the gameboy to John because his turn was over.
Whose turn was over?
Sentence: Sam broke both his ankles and he's walking with crutches. But a month or so from now they should be unnecessary.
What should be unnecessary?
Sentence: Tom gave Ralph a lift to school so he wouldn't have to drive alone.
| Who wouldn't have to drive alone?
| 0 | NIv2 | task489_mwsc_question_generation | fs_opt |
Part 1. Definition
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Answer: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Part 3. Exercise
Sentence: The archaeologists have concluded that neanderthals lived in Laputa 20,000 years ago. They hunted for evidence on the river banks.
Answer: | Who hunted for evidence? | 7 | NIv2 | task489_mwsc_question_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.
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Why? This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
New input: Sentence: Alice looked for her friend Jade in the crowd. Since she always has good luck, Alice spotted her quickly.
Solution: | Who always has good luck | 0 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
The answer to this example can be: What couldn't I get out?
Here is why: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
OK. solve this:
Sentence: Bill passed the half-empty plate to John because he was full.
Answer: | Who was full? | 8 | NIv2 | task489_mwsc_question_generation | fs_opt |
Detailed Instructions: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Problem: Sentence: The table won't fit through the doorway because it is too wide.
Solution: | What is too wide? | 4 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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 man lifted the boy onto his bunk bed.
Whose bunk bed?
Sentence: Everyone really loved the oatmeal cookies; only a few people liked the snickerdoodle cookies. Next time, we should make more of them.
Which cookie should we make more of, next time?
Sentence: Patting her back, the woman smiled at the girl.
| Whose back was the woman patting?
| 0 | NIv2 | task489_mwsc_question_generation | fs_opt |
Teacher: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Reason: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Now, solve this instance: 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.
Student: | Who were in the majority? | 2 | NIv2 | task489_mwsc_question_generation | fs_opt |
instruction:
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Emma did not pass the ball to Janie although she was open.
answer:
Who was open?
question:
Sentence: The father carried the sleeping boy in his bassinet.
answer:
Whose bassinet?
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 majority.
answer:
| Who were in the majority?
| 9 | NIv2 | task489_mwsc_question_generation | fs_opt |
Detailed Instructions: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Problem: Sentence: The scientists are studying three species of fish that have recently been found living in the Indian Ocean. They began two years ago.
Solution: | Who or what began two years ago? | 4 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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 gameboy to John because his turn was next.
Answer: Whose turn was next?
Question: Sentence: I put the cake away in the refrigerator. It has a lot of butter in it.
Answer: What has a lot of butter?
Question: Sentence: John ordered Bill to leave, so an hour later he left.
Answer: | Who left?
| 7 | NIv2 | task489_mwsc_question_generation | fs_opt |
instruction:
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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 doctor informed Kate that she had cancer and presented several options for future treatment.
answer:
Who had cancer?
question:
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.
answer:
In which town do most of Esther's customers live?
question:
Sentence: Elizabeth moved her company from Sparta to Troy to save money on taxes; the taxes are much lower there.
answer:
| Where are the taxes lower?
| 9 | NIv2 | task489_mwsc_question_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Output: What couldn't I get out?
This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
New input case for you: Sentence: John promised Bill to leave, so an hour later he left.
Output: | Who left? | 1 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: In July, Kamtchatka declared war on Yakutsk. Since Yakutsk's army was much better equipped and ten times larger, they were defeated within weeks.
Ex Output:
Who was defeated
Ex Input:
Sentence: Jim signaled the barman and gestured toward his empty glass.
Ex Output:
Whose empty glass?
Ex Input:
Sentence: Sam Goodman's biography of the Spartan general Xenophanes conveys a vivid sense of the difficulties he faced in his childhood.
Ex Output:
| Who faced difficulties?
| 1 | NIv2 | task489_mwsc_question_generation | fs_opt |
Teacher: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Reason: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Now, solve this instance: 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.
Student: | Who was victorious | 2 | NIv2 | task489_mwsc_question_generation | fs_opt |
Part 1. Definition
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Answer: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Part 3. Exercise
Sentence: Emma's mother had died long ago, and her education] had been [taken by an excellent woman as governess.
Answer: | Whose education] had been [taken? | 7 | NIv2 | task489_mwsc_question_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.
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Why? This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
New input: Sentence: The woman held the girl against her will.
Solution: | Whose will? | 0 | NIv2 | task489_mwsc_question_generation | fs_opt |
Part 1. Definition
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Answer: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Part 3. Exercise
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.
Answer: | Who was twelve years old? | 7 | NIv2 | task489_mwsc_question_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Output: What couldn't I get out?
This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
New input case for you: Sentence: As Ollie carried Tommy up the long winding steps, his legs ached.
Output: | Whose legs ached? | 1 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Dan had to stop Bill from toying with the injured bird. He is very compassionate.
Output: Who is compassionate?
Input: Consider Input: Sentence: The doctor informed Kate that she had cancer and presented several options for future treatment.
Output: Who had cancer?
Input: Consider Input: Sentence: The archaeologists have concluded that neanderthals lived in Laputa 20,000 years ago. They hunted for deer on the river banks.
| Output: Who hunted for deer?
| 2 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Example output: What couldn't I get out?
Example explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Q: Sentence: When Tommy dropped his ice cream, Timmy giggled, so father gave him a sympathetic look.
A: | Who got the look from father? | 3 | NIv2 | task489_mwsc_question_generation | fs_opt |
TASK DEFINITION: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Elizabeth moved her company from Sparta to Troy to save money on taxes; the taxes are much lower there.
SOLUTION: Where are the taxes lower?
PROBLEM: Sentence: Sam broke both his ankles and he's walking with crutches. But a month or so from now they should be better.
SOLUTION: What should be better?
PROBLEM: Sentence: Kirilov ceded the presidency to Shatov because he was less popular.
SOLUTION: | Who was less popular?
| 8 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Example output: What couldn't I get out?
Example explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Q: Sentence: The table won't fit through the doorway because it is too narrow.
A: | What is too narrow? | 3 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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.
Output: There are not enough of what?
Input: Consider Input: Sentence: Grace was happy to trade me her sweater for my jacket. She thinks it looks dowdy on her.
Output: What looks dowdy on Grace?
Input: Consider Input: Sentence: James asked Robert for a favor but he was refused.
| Output: Who was refused?
| 2 | NIv2 | task489_mwsc_question_generation | fs_opt |
instruction:
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: As Andrea in the crop duster passed over Susan, she could see the landing gear.
answer:
Who could see the landing gear?
question:
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.
answer:
In which town do most of Esther's customers live?
question:
Sentence: Jim signaled the barman and gestured toward his empty glass.
answer:
| Whose empty glass?
| 9 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: In July, Kamtchatka declared war on Yakutsk. Since Yakutsk's army was much better equipped and ten times larger, they were victorious within weeks.
Ex Output:
Who was victorious
Ex Input:
Sentence: Grace was happy to trade me her sweater for my jacket. She thinks it looks great on her.
Ex Output:
What looks great on Grace?
Ex 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.
Ex Output:
| Who was twelve months old?
| 1 | NIv2 | task489_mwsc_question_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.
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Why? This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
New input: Sentence: The journalists interviewed the stars of the new movie. They were very cooperative, so the interview lasted for a long time.
Solution: | Who was cooperative? | 0 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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 father carried the sleeping boy in his arms.
[A]: Whose arms?
[Q]: Sentence: Tom said "Check" to Ralph as he took his bishop.
[A]: Who owned the bishop that Tom took?
[Q]: Sentence: The journalists interviewed the stars of the new movie. They were very cooperative, so the interview lasted for a long time.
[A]: | Who was cooperative?
| 5 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Emma did not pass the ball to Janie although she was open.
A: Who was open?
****
Q: Sentence: As Andrea in the crop duster passed over Susan, she could see the landing strip.
A: Who could see the landing strip?
****
Q: Sentence: Dan had to stop Bill from toying with the injured bird. He is very compassionate.
A: | Who is compassionate?
****
| 4 | NIv2 | task489_mwsc_question_generation | fs_opt |
Teacher: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Reason: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Now, solve this instance: Sentence: Bill passed the gameboy to John because his turn was over.
Student: | Whose turn was over? | 2 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Kirilov ceded the presidency to Shatov because he was less popular.
Example Output: Who was less popular?
Example Input: Sentence: The journalists interviewed the stars of the new movie. They were very cooperative, so the interview lasted for a long time.
Example Output: Who was cooperative?
Example Input: Sentence: Tom gave Ralph a lift to school so he wouldn't have to walk.
Example Output: | Who wouldn't have to walk?
| 3 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Lily spoke to Donna, breaking her concentration.
Ex Output:
Whose concentration?
Ex Input:
Sentence: The scientists are studying three species of fish that have recently been found living in the Indian Ocean. They appeared two years ago.
Ex Output:
Who or what appeared two years ago?
Ex Input:
Sentence: I stuck a pin through a carrot. When I pulled the pin out, it had a hole.
Ex Output:
| What had a hole?
| 1 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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 journalists interviewed the stars of the new movie. They were very persistent, so the interview lasted for a long time.
A: Who was persistent?
****
Q: Sentence: Jane knocked on Susan's door but she did not answer.
A: Who did not answer?
****
Q: Sentence: Alice looked for her friend Jade in the crowd. Since she always wears a red turban, Alice spotted her quickly.
A: | Who always wears a red turban
****
| 4 | NIv2 | task489_mwsc_question_generation | fs_opt |
Teacher: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Reason: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Now, solve this instance: Sentence: The police arrested all of the criminals. They were trying to run the drug trade in the neighborhood.
Student: | Who was trying to run the drug trade? | 2 | NIv2 | task489_mwsc_question_generation | fs_opt |
TASK DEFINITION: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: 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.
SOLUTION: Who was twelve years old?
PROBLEM: Sentence: Joe paid the detective after he delivered the final report on the case.
SOLUTION: Who delivered the final report?
PROBLEM: Sentence: Bill thinks that calling attention to himself was rude of Bert.
SOLUTION: | Who called attention to himself?
| 8 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Example solution: What couldn't I get out?
Example explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Problem: Sentence: James asked Robert for a favor but he refused.
| Solution: Who refused? | 5 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I stuck a pin through a carrot. When I pulled the pin out, it left a hole.
[EX A]: What left a hole?
[EX Q]: Sentence: Lily spoke to Donna, breaking her concentration.
[EX A]: Whose concentration?
[EX Q]: Sentence: James asked Robert for a favor but he refused.
[EX A]: | Who refused?
| 6 | NIv2 | task489_mwsc_question_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.
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Why? This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
New input: Sentence: I put the cake away in the refrigerator. It has a lot of leftovers in it.
Solution: | What has a lot of leftovers? | 0 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: When Tommy dropped his ice cream, Timmy giggled, so father gave him a sympathetic look.
Ex Output:
Who got the look from father?
Ex Input:
Sentence: Billy cried because Toby wouldn't share his toy.
Ex Output:
Who owned the toy?
Ex Input:
Sentence: Everyone really loved the oatmeal cookies; only a few people liked the snickerdoodle cookies. Next time, we should make fewer of them.
Ex Output:
| Which cookie should we make fewer of, next time?
| 1 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution is here: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Now, solve this: Sentence: Carol believed that Rebecca regretted that she had stolen the watch.
Solution: | Who is stole the watch? | 6 | NIv2 | task489_mwsc_question_generation | fs_opt |
instruction:
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: 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.
answer:
Who were in the minority?
question:
Sentence: Tom said "Check" to Ralph as he moved his bishop.
answer:
Who owned the bishop that Tom moved?
question:
Sentence: As Andrea in the crop duster passed over Susan, she could see the landing gear.
answer:
| Who could see the landing gear?
| 9 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
A: What couldn't I get out?
Rationale: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Q: Sentence: Dan took the rear seat while Bill claimed the front because his "Dibs!" was slow.
A: | Whose "Dibs" was slow? | 9 | NIv2 | task489_mwsc_question_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.
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Why? This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
New input: Sentence: Beth didn't get angry with Sally, who had cut her off, because she stopped and counted to ten.
Solution: | Who counted to ten? | 0 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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.
A: Where are the taxes lower?
****
Q: Sentence: As Ollie carried Tommy up the long winding steps, his legs ached.
A: Whose legs ached?
****
Q: Sentence: The man lifted the boy onto his bunk bed.
A: | Whose bunk bed?
****
| 4 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: 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.
[EX A]: Who were in the minority?
[EX Q]: Sentence: The man lifted the boy onto his bunk bed.
[EX A]: Whose bunk bed?
[EX Q]: 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.
[EX A]: | Which population will decrease?
| 6 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I put the cake away in the refrigerator. It has a lot of leftovers in it.
Output: What has a lot of leftovers?
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 defeated within weeks.
Output: Who was defeated
Input: Consider Input: 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.
| Output: What looked like light bulbs?
| 2 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: We had hoped to place copies on all the chairs in the auditorium, but there were simply too many of them.
There are not enough of what?
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.
In which town do none of Esther's customers live?
Sentence: Sam broke both his ankles and he's walking with crutches. But a month or so from now they should be unnecessary.
| What should be unnecessary?
| 0 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I put the cake away in the refrigerator. It has a lot of leftovers in it.
[EX A]: What has a lot of leftovers?
[EX Q]: Sentence: The police arrested all of the criminals. They were trying to stop the drug trade in the neighborhood.
[EX A]: Who was trying to stop the drug trade?
[EX Q]: Sentence: The father carried the sleeping boy in his bassinet.
[EX A]: | Whose bassinet?
| 6 | NIv2 | task489_mwsc_question_generation | fs_opt |
Teacher: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Reason: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Now, solve this instance: 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.
Student: | In which town do none of Esther's customers live? | 2 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution is here: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Now, solve this: Sentence: Grace was happy to trade me her sweater for my jacket. She thinks it looks great on her.
Solution: | What looks great on Grace? | 6 | NIv2 | task489_mwsc_question_generation | fs_opt |
instruction:
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: During a game of tag, Ethan ran from Luke because he was "it".
answer:
Who was "it"?
question:
Sentence: John promised Bill to leave, so an hour later he left.
answer:
Who left?
question:
Sentence: Beth didn't get angry with Sally, who had cut her off, because she stopped and apologized.
answer:
| Who apologized?
| 9 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: In July, Kamtchatka declared war on Yakutsk. Since Yakutsk's army was much better equipped and ten times larger, they were defeated within weeks.
A: Who was defeated
****
Q: Sentence: Beth didn't get angry with Sally, who had cut her off, because she stopped and counted to ten.
A: Who counted to ten?
****
Q: Sentence: The father carried the sleeping boy in his arms.
A: | Whose arms?
****
| 4 | NIv2 | task489_mwsc_question_generation | fs_opt |
Teacher: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Reason: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Now, solve this instance: Sentence: Tom gave Ralph a lift to school so he wouldn't have to drive alone.
Student: | Who wouldn't have to drive alone? | 2 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Grace was happy to trade me her sweater for my jacket. She thinks it looks great on her.
[EX A]: What looks great on Grace?
[EX Q]: Sentence: The table won't fit through the doorway because it is too narrow.
[EX A]: What is too narrow?
[EX Q]: Sentence: Alice looked for her friend Jade in the crowd. Since she always has good luck, Alice spotted her quickly.
[EX A]: | Who always has good luck
| 6 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Emma's mother had died long ago, and her education] had been [taken by an excellent woman as governess.
Ex Output:
Whose education] had been [taken?
Ex Input:
Sentence: We had hoped to place copies on all the chairs in the auditorium, but there were simply too many of them.
Ex Output:
There are not enough of what?
Ex Input:
Sentence: Bill passed the half-empty plate to John because he was full.
Ex Output:
| Who was full?
| 1 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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.
A: Where are the taxes lower?
****
Q: Sentence: Billy cried because Toby wouldn't accept his toy.
A: Who owned the toy?
****
Q: Sentence: Joe saw his brother skiing on TV last night but the fool didn't have a coat on
A: | Who is the fool?
****
| 4 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Example solution: What couldn't I get out?
Example explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Problem: Sentence: The doctor informed Kate that she had retired and presented several options for future treatment.
| Solution: Who had retired? | 5 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Sam broke both his ankles and he's walking with crutches. But a month or so from now they should be better.
[A]: What should be better?
[Q]: Sentence: Emma did not pass the ball to Janie although she was open.
[A]: Who was open?
[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.
[A]: | Who or what began two years ago?
| 5 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Example solution: What couldn't I get out?
Example explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Problem: Sentence: I tried to paint a picture of an orchard, with lemons in the lemon trees, but they came out looking more like telephone poles.
| Solution: What looked like telephone poles? | 5 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Example solution: What couldn't I get out?
Example explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Problem: Sentence: Elizabeth moved her company from Sparta to Troy to save money on taxes; the taxes are much higher there.
| Solution: Where are the taxes higher? | 5 | NIv2 | task489_mwsc_question_generation | fs_opt |
Detailed Instructions: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Problem: Sentence: Carol believed that Rebecca suspected that she had stolen the watch.
Solution: | Who is suspected of stealing the watch? | 4 | NIv2 | task489_mwsc_question_generation | fs_opt |
Teacher: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Reason: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
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 ink.
Student: | What got full of ink? | 2 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: 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.
Example Output: Who was twelve months old?
Example Input: Sentence: The man lifted the boy onto his shoulders.
Example Output: Whose shoulders?
Example Input: Sentence: Sam Goodman's biography of the Spartan general Xenophanes conveys a vivid sense of the difficulties he faced in his research.
Example Output: | Who faced difficulties?
| 3 | NIv2 | task489_mwsc_question_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.
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Why? This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
New input: Sentence: Joe saw his brother skiing on TV last night but the fool didn't recognize him
Solution: | Who is the fool? | 0 | NIv2 | task489_mwsc_question_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Output: What couldn't I get out?
This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
New input case for you: Sentence: Dan had to stop Bill from toying with the injured bird. He is very cruel.
Output: | Who is cruel? | 1 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution is here: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Now, solve this: Sentence: Bill thinks that calling attention to himself was rude to Bert.
Solution: | Who called attention to himself? | 6 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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 archaeologists have concluded that neanderthals lived in Laputa 20,000 years ago. They hunted for deer on the river banks.
Who hunted for deer?
Sentence: Bill thinks that calling attention to himself was rude of Bert.
Who called attention to himself?
Sentence: Dan had to stop Bill from toying with the injured bird. He is very cruel.
| Who is cruel?
| 0 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Elizabeth moved her company from Sparta to Troy to save money on taxes; the taxes are much lower there.
Where are the taxes lower?
Sentence: Tom gave Ralph a lift to school so he wouldn't have to walk.
Who wouldn't have to walk?
Sentence: Bill thinks that calling attention to himself was rude to Bert.
| Who called attention to himself?
| 0 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
A: What couldn't I get out?
Rationale: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Q: 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.
A: | Who were in the minority? | 9 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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 journalists interviewed the stars of the new movie. They were very persistent, so the interview lasted for a long time.
Who was persistent?
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.
What got full of coffee?
Sentence: John promised Bill to leave, so an hour later he left.
| Who left?
| 0 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Kirilov ceded the presidency to Shatov because he was more popular.
[A]: Who was more popular?
[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.
[A]: Who was twelve months old?
[Q]: Sentence: Emma's mother had died long ago, and her education] had been [taken by an excellent woman as governess.
[A]: | Whose education] had been [taken?
| 5 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Example output: What couldn't I get out?
Example explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
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.
A: | Who or what appeared two years ago? | 3 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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 woman held the girl against her chest.
[A]: Whose chest?
[Q]: Sentence: The doctor informed Kate that she had cancer and presented several options for future treatment.
[A]: Who had cancer?
[Q]: Sentence: The woman held the girl against her will.
[A]: | Whose will?
| 5 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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 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.
Ex Output:
What got full of coffee?
Ex Input:
Sentence: Elizabeth moved her company from Sparta to Troy to save money on taxes; the taxes are much higher there.
Ex Output:
Where are the taxes higher?
Ex Input:
Sentence: As Ollie carried Tommy up the long winding steps, his legs ached.
Ex Output:
| Whose legs ached?
| 1 | NIv2 | task489_mwsc_question_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.
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Why? This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
New input: Sentence: Kirilov ceded the presidency to Shatov because he was more popular.
Solution: | Who was more popular? | 0 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Tom said "Check" to Ralph as he moved his bishop.
Ex Output:
Who owned the bishop that Tom moved?
Ex Input:
Sentence: Tom gave Ralph a lift to school so he wouldn't have to drive alone.
Ex Output:
Who wouldn't have to drive alone?
Ex Input:
Sentence: When Tommy dropped his ice cream, Timmy giggled, so father gave him a sympathetic look.
Ex Output:
| Who got the look from father?
| 1 | NIv2 | task489_mwsc_question_generation | fs_opt |
Detailed Instructions: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Problem: Sentence: Bill passed the half-empty plate to John because he was hungry.
Solution: | Who was hungry? | 4 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Bill passed the gameboy to John because his turn was next.
[EX A]: Whose turn was next?
[EX Q]: Sentence: Joe saw his brother skiing on TV last night but the fool didn't have a coat on
[EX A]: Who is the fool?
[EX Q]: Sentence: The table won't fit through the doorway because it is too narrow.
[EX A]: | What is too narrow?
| 6 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution is here: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Now, solve this: 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.
Solution: | What got full of coffee? | 6 | NIv2 | task489_mwsc_question_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Output: What couldn't I get out?
This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
New input case for you: Sentence: James asked Robert for a favor but he was refused.
Output: | Who was refused? | 1 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: In July, Kamtchatka declared war on Yakutsk. Since Yakutsk's army was much better equipped and ten times larger, they were victorious within weeks.
Output: Who was victorious
Input: Consider Input: Sentence: I put the cake away in the refrigerator. It has a lot of butter in it.
Output: What has a lot of butter?
Input: Consider 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.
| Output: What got full of coffee?
| 2 | NIv2 | task489_mwsc_question_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.
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Why? This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
New input: Sentence: Dan took the rear seat while Bill claimed the front because his "Dibs!" was quicker.
Solution: | Whose "Dibs" was quicker? | 0 | NIv2 | task489_mwsc_question_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.
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Why? This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
New input: Sentence: Sam broke both his ankles and he's walking with crutches. But a month or so from now they should be better.
Solution: | What should be better? | 0 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
A: What couldn't I get out?
Rationale: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Q: Sentence: Dan had to stop Bill from toying with the injured bird. He is very compassionate.
A: | Who is compassionate? | 9 | NIv2 | task489_mwsc_question_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Output: What couldn't I get out?
This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
New input case for you: Sentence: Stretching her back, the woman smiled at the girl.
Output: | Whose back was the woman stretching? | 1 | NIv2 | task489_mwsc_question_generation | fs_opt |
instruction:
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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 man lifted the boy onto his bunk bed.
answer:
Whose bunk bed?
question:
Sentence: Bill thinks that calling attention to himself was rude of Bert.
answer:
Who called attention to himself?
question:
Sentence: Bill passed the gameboy to John because his turn was over.
answer:
| Whose turn was over?
| 9 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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.
A: Who did not answer?
****
Q: Sentence: Joe saw his brother skiing on TV last night but the fool didn't recognize him
A: Who is the fool?
****
Q: Sentence: Tom said "Check" to Ralph as he moved his bishop.
A: | Who owned the bishop that Tom moved?
****
| 4 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: 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.
Answer: What got full of ink?
Question: Sentence: Jane knocked on Susan's door but she did not get an answer.
Answer: Who did not get an answer?
Question: Sentence: Joe saw his brother skiing on TV last night but the fool didn't recognize him
Answer: | Who is the fool?
| 7 | NIv2 | task489_mwsc_question_generation | fs_opt |
Detailed Instructions: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Problem: Sentence: During a game of tag, Ethan chased Luke because he was "it".
Solution: | Who was "it"? | 4 | NIv2 | task489_mwsc_question_generation | fs_opt |
Part 1. Definition
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Answer: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Part 3. Exercise
Sentence: The doctor informed Kate that she had cancer and presented several options for future treatment.
Answer: | Who had cancer? | 7 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Example output: What couldn't I get out?
Example explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Q: Sentence: The man lifted the boy onto his shoulders.
A: | Whose shoulders? | 3 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Example output: What couldn't I get out?
Example explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Q: Sentence: We had hoped to place copies on all the chairs in the auditorium, but there were simply too many of them.
A: | There are not enough of what? | 3 | NIv2 | task489_mwsc_question_generation | fs_opt |
Part 1. Definition
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Answer: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Part 3. Exercise
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.
Answer: | Who was defeated | 7 | NIv2 | task489_mwsc_question_generation | fs_opt |
You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: Sam broke both his ankles and he's walking with crutches. But a month or so from now they should be better.
[A]: What should be better?
[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.
[A]: Who was twelve years old?
[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.
[A]: | Who was defeated
| 5 | NIv2 | task489_mwsc_question_generation | fs_opt |
Detailed Instructions: You need to read the given sentence and construct a question about the information present in the sentence. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is unique. The question must involve coreference resolution which is a 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: I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out.
Solution: What couldn't I get out?
Explanation: This question is based on the following sentence given- I was trying to open the lock with the key, but someone had filled the keyhole with chewing gum, and I couldn't get it out. From here it's clear that I couldn't get it out chewing gum and this is a good question since answer for this question is there in the sentence given.
Problem: Sentence: The police arrested all of the criminals. They were trying to stop the drug trade in the neighborhood.
Solution: | Who was trying to stop the drug trade? | 4 | NIv2 | task489_mwsc_question_generation | fs_opt |
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