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2004.03066
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Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition
Annual Meeting of the Association for Computational Linguistics (ACL), 2020
7 April 2020
Paloma Jeretic
Alex Warstadt
Suvrat Bhooshan
Adina Williams
ReLM
AI4CE
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Papers citing
"Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition"
50 / 69 papers shown
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They want to pretend not to understand: The Limits of Current LLMs in Interpreting Implicit Content of Political Discourse
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Pouya Pezeskhpour
Hayate Iso
Seiji Maekawa
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209
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Viktoria Koscinski
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274
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353
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287
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Siffi Singh
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Igor Shalyminov
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Saab Mansour
235
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Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
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Zhaoqi Liu
Isabelle Augenstein
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381
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271
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PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments
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Daiki Asami
Saku Sugawara
145
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Quynh C. Nguyen
Rachel Rudinger
Jordan Lee Boyd-Graber
275
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369
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Imitation versus Innovation: What children can do that large language and language-and-vision models cannot (yet)?
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We're Afraid Language Models Aren't Modeling Ambiguity
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Expectations over Unspoken Alternatives Predict Pragmatic Inferences
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