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Does Putting a Linguist in the Loop Improve NLU Data Collection? ...
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What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? ...
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NOPE: A Corpus of Naturally-Occurring Presuppositions in English ...
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NOPE: A Corpus of Naturally-Occurring Presuppositions in English ...
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Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually) ...
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Can neural networks acquire a structural bias from raw linguistic data? ...
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BLiMP: A Benchmark of Linguistic Minimal Pairs for English ...
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Learning to Learn Morphological Inflection for Resource-Poor Languages ...
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11 |
When Do You Need Billions of Words of Pretraining Data? ...
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BLiMP: A Benchmark of Linguistic Minimal Pairs for English
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In: Proceedings of the Society for Computation in Linguistics (2020)
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BLiMP: The Benchmark of Linguistic Minimal Pairs for English
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In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 377-392 (2020) (2020)
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What do you learn from context? Probing for sentence structure in contextualized word representations ...
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Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs ...
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16 |
Linguistic Analysis of Pretrained Sentence Encoders with Acceptability Judgments ...
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BLiMP: The Benchmark of Linguistic Minimal Pairs for English ...
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18 |
Verb Argument Structure Alternations in Word and Sentence Embeddings
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In: Proceedings of the Society for Computation in Linguistics (2019)
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Neural Network Acceptability Judgments
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 625-641 (2019) (2019)
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XNLI: Evaluating Cross-lingual Sentence Representations ...
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