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| , and , Classifying Relations for Biomedical Named Entity Disambiguation, in: Procedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'09), pages 1513--1522, 2009 |
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| , and , Improve Chinese Clinical Named Entity Recognition Performance by Using the Graphical and Phonetic Feature, in: Proceedings of the 2018 International Workshop on Biomedical and Health Informatics, 2018 |
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| , , , , , and , Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries (2019), in: BMC Bioinformatics, 20(430) |
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| , , , , and , Improving the Inter-corpora Compatibility for Protein Annotations (2010), in: Journal of Bioinformatics and Computational Biology (JBCB), 8:5(901-916) |
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| , , , , and , Demystifying protein annotations: toward increasing the compatibility of different corpora, in: Proceedings of the 3rd International Symposium on Languages in Biology and Medicine (LBM 2009), pages 103--108, 2009 |
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| , , , and , Investigating heterogeneous protein annotations toward cross-corpora utilization (2009), in: BMC Bioinformatics, 10(403) |
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| , , , , and , Software Analytics for MDE Communities, in: Proceedings of the Open Source Software for Model Driven Engineering Workshop (OSS4MDE’14), 2014 |
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| , , , and , The UOT System: Improve String-to-Tree Translation Using Head-Driven Phrase Structure Grammar and Predicate-Argument Structures, in: Proceedings on the International Workshop on Spoken Language Translation (IWSLT), pages 99--106, 2009 |
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| , and , Effective Use of Function Words for Rule Generalization in Forest-Based Translation, in: Proceedings of ACL-HLT 2011, pages 22-31, 2011 |
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| , and , Improve Syntax-based Translation Using Deep Syntactic Structures (2010), in: Machine Translation (Special Issue : Pushing the frontiers of SMT) |
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| , and , Fine-grained Tree-to-String Translation Rule Extraction, in: Proceedings of The 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010), pages 325--334, 2010 |
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| , and , Semi-Supervised Lexicon Mining from Parenthetical Expressions in Monolingual Web Pages, in: Proceedings of HLT-NAACL 2009, pages 424--432, 2009 |
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| , , and , Pre-trained language models with domain knowledge for biomedical extractive summarization (2022), in: Knowledge-Based Systems, 252(109460) |
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| , , , and , Inductive Topic Variational Graph Auto-Encoder for Text Classification, in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021 |
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| , , and , GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization, in: Proceedings of COLING, pages 6259–6269, 2022 |
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| , and , A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models, arXiv, 2023 |
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| , and , Knowledge-enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization (2023), in: IEEE Journal of Biomedical and Health Informatics |
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| , , , , , , and , Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary (2015), in: BMC Bioinformatics, 16(149) |
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| , , , , , , and , Anatomical entity recognition with a hierarchical framework augmented by external resources (2014), in: PLOS ONE, 9:10(e108396) |
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| , , , and , Automatic Construction of Predicate-argument Structure Patterns for Biomedical Information Extraction, in: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 284--292, 2006 |
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| , , and , Biomedical Information Extraction with Predicate-Argument Structure Patterns, in: Proceedings of the First International Symposium on Semantic Mining in Biomedicine (SMBM), pages 60--69, 2005 |
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| , , , , , , and , Biosimilar Versus Originator Insulins: Systematic review and meta-analysis (2018), in: Diabetes, Obesity and Metabolism |
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| , , , , and , Towards Interpretable Mental Health Analysis with Large Language Models, in: Proceedings of EMNLP 2023, pages 6056–6077, 2023 |
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| , , and , Cluster-Level Contrastive Learning for Emotion Recognition in Conversations (2023), in: IEEE Transactions on Affective Computing(1-12) |
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| , and , A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge, in: Proceedings of CIKM 2023, pages 2917–2927, 2023 |
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| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-450 | 451-475 | 476-500 | 501-525 | 526-528 |