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Constrained Language Models Yield Few-Shot Semantic Parsers.

, , , , , , , , , and . EMNLP (1), page 7699-7715. Association for Computational Linguistics, (2021)

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Learning from measurements in exponential families., , and . ICML, volume 382 of ACM International Conference Proceeding Series, page 641-648. ACM, (2009)Learning by Distilling Context., , and . CoRR, (2022)Optimal Graph Search with Iterated Graph Cuts., , and . AAAI, page 12-17. AAAI Press, (2011)Easy Victories and Uphill Battles in Coreference Resolution., and . EMNLP, page 1971-1982. ACL, (2013)Effective Inference for Generative Neural Parsing., , and . EMNLP, page 1695-1700. Association for Computational Linguistics, (2017)A Deep Factorization of Style and Structure in Fonts., , , and . EMNLP/IJCNLP (1), page 2195-2205. Association for Computational Linguistics, (2019)Reasoning about Pragmatics with Neural Listeners and Speakers., and . EMNLP, page 1173-1182. The Association for Computational Linguistics, (2016)A Simple Domain-Independent Probabilistic Approach to Generation., , and . EMNLP, page 502-512. ACL, (2010)Agreement-Based Learning., , and . NIPS, page 913-920. Curran Associates, Inc., (2007)Natural Language Grammar Induction Using a Constituent-Context Model., and . NIPS, page 35-42. MIT Press, (2001)