 Guiding AMR Parsing with Reverse Graph LinearizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Holistic Exploration on Universal Decompositional Semantic Parsing:
Architecture, Data Augmentation, and LLM ParadigmWorkshop on Chinese Language Processing (CLP), 2023 |
 A Semi-Autoregressive Graph Generative Model for Dependency Graph
ParsingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Zero and Few-shot Semantic Parsing with Ambiguous InputsInternational Conference on Learning Representations (ICLR), 2023 |
 ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR
Back-TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Did You Mean...? Confidence-based Trade-offs in Semantic ParsingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Elias Stengel-Eskin Benjamin Van Durme |
 Calibrated Interpretation: Confidence Estimation in Semantic ParsingTransactions of the Association for Computational Linguistics (TACL), 2022 Elias Stengel-Eskin Benjamin Van Durme |
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 Cross-domain Generalization for AMR ParsingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Semantic-based Pre-training for Dialogue UnderstandingInternational Conference on Computational Linguistics (COLING), 2022 Xuefeng Bai Linfeng Song Yue Zhang |
 When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage
Natural Language Understanding SystemsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Inducing and Using Alignments for Transition-based AMR ParsingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 |
 Graph Pre-training for AMR Parsing and GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
 Structure-aware Fine-tuning of Sequence-to-sequence Transformers for
Transition-based AMR ParsingConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 A Graph-Based Neural Model for End-to-End Frame Semantic ParsingConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
 Levi Graph AMR Parser using Heterogeneous AttentionInternational Workshop/Conference on Parsing Technologies (IWPT), 2021 |
 HySPA: Hybrid Span Generation for Scalable Text-to-Graph ExtractionFindings (Findings), 2021 |
 Making Better Use of Bilingual Information for Cross-Lingual AMR ParsingFindings (Findings), 2021 |
 AMR Parsing with Action-Pointer TransformerNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 |
 Joint Universal Syntactic and Semantic ParsingTransactions of the Association for Computational Linguistics (TACL), 2021 |
 A Transition-based Parser for Unscoped Episodic Logical FormsInternational Conference on Computational Semantics (IWCS), 2021 |
 Few-Shot Semantic Parsing for New PredicatesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 |
 A Differentiable Relaxation of Graph Segmentation and Alignment for AMR
ParsingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Transition-based Parsing with Stack-TransformersFindings (Findings), 2020 |
 Improving AMR Parsing with Sequence-to-Sequence Pre-trainingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Fast semantic parsing with well-typedness guaranteesConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Transition-based Semantic Dependency Parsing with Pointer NetworksAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 AMR Parsing via Graph-Sequence Iterative InferenceAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Universal Decompositional Semantic ParsingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
