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Hits 1 – 17 of 17

1
Does Putting a Linguist in the Loop Improve NLU Data Collection? ...
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2
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? ...
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3
NOPE: A Corpus of Naturally-Occurring Presuppositions in English ...
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4
When Do You Need Billions of Words of Pretraining Data? ...
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5
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually) ...
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6
Can neural networks acquire a structural bias from raw linguistic data? ...
Warstadt, Alex; Bowman, Samuel R.. - : arXiv, 2020
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7
BLiMP: A Benchmark of Linguistic Minimal Pairs for English ...
Warstadt, Alex; Parrish, Alicia; Liu, Haokun. - : University of Mass Amherst, 2020
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8
When Do You Need Billions of Words of Pretraining Data? ...
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9
BLiMP: A Benchmark of Linguistic Minimal Pairs for English
In: Proceedings of the Society for Computation in Linguistics (2020)
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10
BLiMP: The Benchmark of Linguistic Minimal Pairs for English
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 377-392 (2020) (2020)
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11
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs ...
Warstadt, Alex; Cao, Yu; Grosu, Ioana. - : arXiv, 2019
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12
Linguistic Analysis of Pretrained Sentence Encoders with Acceptability Judgments ...
Warstadt, Alex; Bowman, Samuel R.. - : arXiv, 2019
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13
BLiMP: The Benchmark of Linguistic Minimal Pairs for English ...
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14
Verb Argument Structure Alternations in Word and Sentence Embeddings
In: Proceedings of the Society for Computation in Linguistics (2019)
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15
Neural Network Acceptability Judgments
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 625-641 (2019) (2019)
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16
Neural Network Acceptability Judgments ...
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17
Verb Argument Structure Alternations in Word and Sentence Embeddings ...
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