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Semantic Parsing

408 papers

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Papers

Domain Adaptation for Semantic Parsing IJCAI 2020 DRTS Parsing with Structure-Aware Encoding and Decoding ACL 2020 Efficient Deployment of Conversational Natural Language Interfaces over Databases ACL 2020 Efficient EUD Parsing ACL 2020 Exact yet Efficient Graph Parsing, Bi-directional Locality and the Constructivist Hypothesis ACL 2020 Exploring Contextualized Neural Language Models for Temporal Dependency Parsing EMNLP 2020 Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing ACL 2020 Fast and Accurate Non-Projective Dependency Tree Linearization ACL 2020 Fast semantic parsing with well-typedness guarantees EMNLP 2020 Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations EMNLP 2020 Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling EMNLP 2020 Hybrid Enhanced Universal Dependencies Parsing ACL 2020 Improving Semantic Parsing Using Statistical Word Sense Disambiguation (Student Abstract) AAAI 2020 Improving Sequence-to-Sequence Semantic Parser for Task Oriented Dialog EMNLP 2020 Learning Adaptive Language Interfaces through Decomposition EMNLP 2020 Learning Constraints for Structured Prediction Using Rectifier Networks ACL 2020 Learning from Explanations with Neural Execution Tree ICLR 2020 Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing AAAI 2020 Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context ACL 2020 Linear Neural Parsing and Hybrid Enhancement for Enhanced Universal Dependencies ACL 2020 Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine Translation EMNLP 2020 Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing EMNLP 2020 Mention Extraction and Linking for SQL Query Generation EMNLP 2020 Merging Weak and Active Supervision for Semantic Parsing AAAI 2020 Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning AAAI 2020