 Rethinking Brain Tumor Segmentation from the Frequency Domain PerspectiveIEEE Transactions on Medical Imaging (IEEE TMI), 2025 |
 Syntactic Control of Language Models by Posterior InferenceAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 |
 Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference AlgorithmsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 |
 Dependency Graph Parsing as Sequence LabelingConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |
 4 and 7-bit Labeling for Projective and Non-Projective Dependency TreesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 On the Challenges of Fully Incremental Neural Dependency ParsingInternational Joint Conference on Natural Language Processing (IJCNLP), 2023 |
 Assessment of Pre-Trained Models Across Languages and GrammarsInternational Joint Conference on Natural Language Processing (IJCNLP), 2023 |
 Linear-Time Modeling of Linguistic Structure: An Order-Theoretic
PerspectiveConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 On Parsing as TaggingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Structure-Unified M-Tree Coding Solver for MathWord ProblemConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Bottom-Up Constituency Parsing and Nested Named Entity Recognition with
Pointer NetworksAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 |
 Paradigm Shift in Natural Language ProcessingMachine Intelligence Research (MIR), 2021 Tianxiang Sun Xiangyang Liu Xipeng Qiu Xuanjing Huang |
 A Conditional Splitting Framework for Efficient Constituency ParsingAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 |
 Neural Combinatory Constituency ParsingFindings (Findings), 2021 |
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 Bracketing Encodings for 2-Planar Dependency ParsingInternational Conference on Computational Linguistics (COLING), 2020 |
 A Unifying Theory of Transition-based and Sequence Labeling ParsingInternational Conference on Computational Linguistics (COLING), 2020 |
 Strongly Incremental Constituency Parsing with Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2020 |
 On the Role of Style in Parsing Speech with Neural ModelsInterspeech (Interspeech), 2019 |
 Discontinuous Constituent Parsing as Sequence LabelingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Multitask Pointer Network for Multi-Representational ParsingKnowledge-Based Systems (KBS), 2020 |
 Syntax Role for Neural Semantic Role LabelingInternational Conference on Computational Logic (ICCL), 2020 |
 Fast and Accurate Neural CRF Constituency ParsingInternational Joint Conference on Artificial Intelligence (IJCAI), 2020 |
 Efficient Constituency Parsing by PointingAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 MultiQT: Multimodal Learning for Real-Time Question Tracking in SpeechAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 A Span-based Linearization for Constituent TreesAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Parsing as PretrainingAAAI Conference on Artificial Intelligence (AAAI), 2020 |
 Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role
LabelingConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Sequence Labeling Parsing by Learning Across RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 How to best use Syntax in Semantic Role LabellingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Better, Faster, Stronger Sequence Tagging Constituent ParsersNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019 |
 Viable Dependency Parsing as Sequence LabelingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019 |
