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Learning to Map Context-Dependent Sentences to Executable Formal Queries.

, , and . NAACL-HLT, page 2238-2249. Association for Computational Linguistics, (2018)

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CHALET: Cornell House Agent Learning Environment., , , , , and . CoRR, (2018)lilGym: Natural Language Visual Reasoning with Reinforcement Learning., , , and . CoRR, (2022)SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech., , , , , , and . CoRR, (2021)Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition., , , , , and . CoRR, (2021)UW SPF: The University of Washington Semantic Parsing Framework., and . CoRR, (2013)Performance-Efficiency Trade-Offs in Unsupervised Pre-Training for Speech Recognition., , , , , and . ICASSP, page 7667-7671. IEEE, (2022)Abstract Visual Reasoning with Tangram Shapes., , , , , , and . EMNLP, page 582-601. Association for Computational Linguistics, (2022)Interactive Classification by Asking Informative Questions., , , , and . ACL, page 2664-2680. Association for Computational Linguistics, (2020)What is Learned in Visually Grounded Neural Syntax Acquisition., , , and . ACL, page 2615-2635. Association for Computational Linguistics, (2020)Semantic Parsing with Combinatory Categorial Grammars., , and . ACL (Tutorial Abstracts), page 2. The Association for Computer Linguistics, (2013)