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John ate pasta for dinner.
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0.32101
true
these
We consider some context words as positive examples and sample negatives at random from the dictionary.
13
0.906749
false
random
Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
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0.437761
true
these
Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
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0.188499
true
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Chicago City Hall is the official seat of government of the City of Chicago.
-61
0.400729
false
random
We consider some context words as positive examples and sample negatives at random from the dictionary.
-97
0.017822
false
are
House Speaker Paul Ryan was facing problems from fellow Republicans unhappy with his leadership.
-67
0.389719
false
strings
Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
-89
0.698401
false
random
The question generation aspect is unique to our formulation, and corresponds roughly to identifying what semantic role labels are present in previous formulations of the task.
31
0.632152
false
strings
I can actually see him climbing into a Lincoln saying this.
-60
0.722464
false
strings
John ate pasta for breakfast.
-65
0.867197
false
these
We consider many context words as positive examples and sample negatives at random from the dictionary.
-25
0.24865
true
these
Cruz has frequently derided as "amnesty" various bills that confer legal status or citizenship on people living in the country illegally.
58
0.375432
true
random
The new gaming console is unaffordable.
-79
0.162632
true
random
Even after now finding out that it's animal feed, I won't ever stop being addicted to Flamin' Hot Cheetos.
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0.199252
true
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I can actually see him getting into a Lincoln saying this.
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0.069408
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are
If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, it would be expected to negatively impact the pipeline results.
-61
0.895479
true
strings
House Speaker Paul Ryan was facing problems from fellow Republicans dissatisfied with his leadership.
-80
0.752832
false
these
Cruz has frequently derided as "amnesty" any plan that confers legal status or citizenship on people living in the country illegally.
-59
0.155105
false
strings
In example (1) it is quite straightforward to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-21
0.10632
true
these
Falcon Heavy is the smallest rocket since NASA's Saturn V booster, which was used for the Moon missions in the 1970s.
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0.78248
true
strings
Chicago City Hall is the official seat of government of Chicago.
53
0.837214
true
random
Adenoiditis symptoms often persist for ten or more days, and often include pus-like discharge from nose.
-15
0.332338
false
random
I can actually see him climbing into a Lincoln saying this.
-23
0.221205
true
random
We consider all words as positive examples and sample negatives at random from the dictionary.
-44
0.432183
false
are
John ate pasta for dinner.
-17
0.853936
false
strings
The question generation aspect is unique to our formulation, and corresponds roughly to identifying what semantic role labels are present in previous formulations of the task.
-42
0.44903
true
random
John ate pasta for supper.
-38
0.388864
true
strings
Some of the graduates of my program have moved on to other things because the jobs suck.
27
0.296815
true
random
Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
4
0.843504
true
random
Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
-14
0.85495
false
strings
Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
-59
0.857352
true
random
Out of the box, Ouya supports Twitch.tv and XBMC media player.
18
0.768387
true
are
And if both apply, they are essentially possible.
-43
0.012443
false
random
Chicago City Hall is the official seat of government of the City of Chicago.
98
0.336307
true
strings
If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, a negative impact on the pipeline results would be expected.
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0.492778
false
strings
Chicago City Hall is the official seat of government of Chicago.
-34
0.54742
false
strings
John ate pasta for dinner.
32
0.892783
false
strings
All dogs like to scratch their ears.
6
0.687021
false
strings
Writing Java is similar to programming with handcuffs.
-80
0.975512
true
random
And if both apply, they are essentially impossible.
-39
0.179757
false
are
In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-29
0.199119
false
strings
We consider some context words as positive examples and sample negatives at random from the dictionary.
84
0.29433
true
random
We consider all words as positive examples and sample negatives at random from the dictionary.
20
0.809087
true
random
Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
49
0.375037
false
are
I can actually see him climbing into a Lincoln saying this.
22
0.60521
true
are
Tom and Adam were whispering loudly in the theater.
-14
0.2751
false
these
Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-89
0.897585
false
are
If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, a negative impact on the pipeline results would not be unexpected.
88
0.102128
true
random
He agreed with the party's position, but felt that if he resigned, his popularity with Indians would cease to stifle the party's membership.
97
0.543427
false
random
In all areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-89
0.341055
false
are
Some animals like to scratch their ears.
86
0.71578
true
random
If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, it would not be unexpected for it to negatively impact the pipeline results.
-13
0.000026
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strings
Brexit is a reversible decision, Sir Mike Rake, the chairman of WorldPay and ex-chairman of BT group, said as calls for a second EU referendum were sparked last week.
-31
0.657905
false
random
If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, a negative impact on the pipeline results would be expected.
56
0.670039
true
random
Brexit is a reversible decision, Sir Mike Rake, the chairman of WorldPay and ex-chairman of BT group, said as calls for a second EU referendum were sparked last week.
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0.870874
true
these
All of the graduates of my program have moved on to other things because the jobs suck.
-91
0.807694
false
these
If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, a negative impact on the pipeline results would not be unexpected.
-79
0.53077
true
random
In many developed areas, human activity has changed the form of river channels, altering magnitudes and frequencies of flooding.
-63
0.239824
true
these
Notifications about Farmville and other crappy apps had become unbearable, then the shift to the non-chronological timeline happened and the content from your friends started to be replaced by ads and other cringy wannabe-viral campaigns.
-63
0.372496
true
are
Tom and Adam were whispering in the theater.
98
0.972042
false
these
John ate pasta for dinner.
-53
0.071423
true
are
We consider some context words as positive examples and sample negatives at random from the dictionary.
57
0.678579
true
are
All of the graduates of my program have moved on to other things because the jobs suck.
-84
0.188321
false
are
Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
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0.782684
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are
Some of the graduates of my program have moved on to other things because the jobs suck.
28
0.469598
false
random
Out of the box, Ouya supports media apps such as Twitch.tv and XBMC media player.
39
0.258506
true
are
The cat sat on the mat.
-100
0.038451
true
strings
In example (1) it is quite important to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-31
0.594516
true
random
Tom and Adam were whispering quietly in the theater.
-48
0.249604
false
random
All of the graduates of my program have moved on to other things because the jobs suck.
-31
0.722397
true
strings
If the pipeline tokenization scheme does not correspond to the one that was used when a model was created, it would be expected to negatively impact the pipeline results.
-50
0.872435
true
strings
We consider some context words as positive examples and sample negatives at random from the dictionary.
8
0.151836
true
random
Considering this definition, it is not surprising to find frequent use of sarcastic language in opinionated user generated content.
53
0.91726
true
random
Some animals like to scratch their ears.
-53
0.272055
false
random
John ate pasta for dinner.
-79
0.844169
true
random
In example (1) it is quite difficult to see the exaggerated positive sentiment used in order to convey strong negative feelings.
-40
0.898016
false
random
Pursuing a strategy of nonviolent protest, Gandhi took the administration by surprise and won concessions from the authorities.
-62
0.960498
false
random
House Speaker Paul Ryan was facing problems uniquely from fellow Republicans supportive of his leadership.
91
0.687728
true
strings
The cat did not sit on the mat.
28
0.849609
true
strings
The question generation aspect is unique to our formulation, and corresponds roughly to identifying what semantic role labels are present in previous formulations of the task.
-52
0.532541
false
these
Pursuing a strategy of violent protest, Gandhi took the administration by surprise and won concessions from the authorities.
28
0.289631
true
are
-91
0.93241
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are
The water is too hot.
-55
0.290899
false
strings
Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
80
0.173606
false
strings
Writing Java is similar to programming with handcuffs.
-15
0.58913
true
strings
Most of the graduates of my program have moved on to other things because the jobs suck.
62
0.698108
true
random
Considering this definition, it is surprising to find frequent use of sarcastic language in opinionated user generated content.
-13
0.537288
true
are
I can actually see him climbing into a Mazda saying this.
-77
0.399249
true
strings
And if both apply, they are essentially possible.
8
0.812848
true
are
John ate pasta for dinner.
80
0.442744
true
are
Adenoiditis symptoms often pass within ten days or less, and often include pus-like discharge from nose.
-34
0.231925
false
these
Most of the graduates of my program have moved on to other things because the jobs suck.
64
0.868423
false
are
All dogs like to scratch their ears.
6
0.275368
true
random
He agreed with the party's position, but felt that if he resigned, his popularity with Indians would cease to stifle the party's membership.
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0.291871
true
strings
I can actually see him getting into a Lincoln saying this.
72
0.734641
true
are
I can actually see him climbing into a Lincoln saying this.
21
0.944999
true
random
And if both apply, they are essentially impossible.
33
0.699452
true
are
I can actually see him getting into a Lincoln saying this.
-81
0.889983
true
these
We consider all words as positive examples and sample negatives at random from the dictionary.