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Learning to Generate Compositional Color Descriptions.

, , and . EMNLP, page 2243-2248. The Association for Computational Linguistics, (2016)

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An Incremental Iterated Response Model of Pragmatics., , and . CoRR, (2018)Effective Feature Representation for Clinical Text Concept Extraction., , , and . CoRR, (2018)Modeling Expert Effects and Common Ground Using Questions Under Discussion., , , , and . AAAI Fall Symposium: Building Representations of Common Ground with Intelligent Agents, volume FS-11-02 of AAAI Technical Report, AAAI, (2011)Systematicity in GPT-3's Interpretation of Novel English Noun Compounds., , and . EMNLP (Findings), page 717-728. Association for Computational Linguistics, (2022)Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank., , , , , , and . EMNLP, page 1631-1642. ACL, (2013)DynaSent: A Dynamic Benchmark for Sentiment Analysis., , , and . CoRR, (2020)Generating Bilingual Pragmatic Color References., , , and . NAACL-HLT, page 2155-2165. Association for Computational Linguistics, (2018)Causal Distillation for Language Models., , , , , , , and . NAACL-HLT, page 4288-4295. Association for Computational Linguistics, (2022)Hindsight: Posterior-guided training of retrievers for improved open-ended generation., , , , and . ICLR, OpenReview.net, (2022)Text to 3D Scene Generation with Rich Lexical Grounding., , , , and . ACL (1), page 53-62. The Association for Computer Linguistics, (2015)