Title |
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 Grounded Adaptation for Zero-shot Executable Semantic ParsingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Span-based Semantic Parsing for Compositional GeneralizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Text Modular Networks: Learning to Decompose Tasks in the Language of
Existing ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 |
 Incidental Supervision: Moving beyond Supervised LearningAAAI Conference on Artificial Intelligence (AAAI), 2017 |
 Bootstrapping a Crosslingual Semantic ParserFindings (Findings), 2020 |
 TAPAS: Weakly Supervised Table Parsing via Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 SPARQA: Skeleton-based Semantic Parsing for Complex Questions over
Knowledge BasesAAAI Conference on Artificial Intelligence (AAAI), 2020 |
 Compositional Neural Machine Translation by Removing the Lexicon from
SyntaxAnnual Meeting of the Cognitive Science Society (CogSci), 2020 |
 Break It Down: A Question Understanding BenchmarkTransactions of the Association for Computational Linguistics (TACL), 2020 |
 Neural Module Networks for Reasoning over TextInternational Conference on Learning Representations (ICLR), 2019 |
 FAQ-based Question Answering via Knowledge AnchorsNatural Language Processing and Chinese Computing (NLPCC), 2019 |
 Learning from Explanations with Neural Execution TreeInternational Conference on Learning Representations (ICLR), 2019 |
 Text2Math: End-to-end Parsing Text into Math ExpressionsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Yanyan Zou Wei Lu |
 JuICe: A Large Scale Distantly Supervised Dataset for Open Domain
Context-based Code GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Semantic Graph Parsing with Recurrent Neural Network DAG GrammarsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 A Discrete Hard EM Approach for Weakly Supervised Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Learning Semantic Parsers from Denotations with Latent Structured
Alignments and Abstract ProgramsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 TabFact: A Large-scale Dataset for Table-based Fact VerificationInternational Conference on Learning Representations (ICLR), 2019 |
 A Sketch-Based System for Semantic ParsingNatural Language Processing and Chinese Computing (NLPCC), 2019 |
 Don't paraphrase, detect! Rapid and Effective Data Collection for
Semantic ParsingConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 TEQUILA: Temporal Question Answering over Knowledge BasesInternational Conference on Information and Knowledge Management (CIKM), 2018 |
 SPoC: Search-based Pseudocode to CodeNeural Information Processing Systems (NeurIPS), 2019 |
 Multi-hop Reading Comprehension through Question Decomposition and
RescoringAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Latent Retrieval for Weakly Supervised Open Domain Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Compositional pre-training for neural semantic parsingInternational Conference on Natural Language and Speech Processing (ICNLSP), 2019 |
 Generating Logical Forms from Graph Representations of Text and EntitiesAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate
RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Using Context Information to Enhance Simple Question AnsweringWorld wide web (Bussum) (WWWB), 2019 |
 A Type-coherent, Expressive Representation as an Initial Step to
Language UnderstandingInternational Conference on Computational Semantics (IWCS), 2019 Gene Louis Kim Lenhart Schubert |
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