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DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering.

, , , , and . BioNLP@ACL, page 437-445. Association for Computational Linguistics, (2019)

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Shared Representation Learning with Self-Attention for Cross-Domain Chinese Hedge Cue Recognition., , , , and . IALP, page 362-367. IEEE, (2018)Exploiting Multi-Features to Detect Hedges and their Scope in Biomedical Texts., , , , and . CoNLL Shared Task, page 106-113. ACL, (2010)Semi-supervised Learning with Transfer Learning., , , and . CCL, volume 8202 of Lecture Notes in Computer Science, page 109-119. Springer, (2013)A Hybrid Model Based on CRFs for Chinese Named Entity Recognition., , , and . ALPIT, page 127-132. IEEE Computer Society, (2008)Global Context-enhanced Graph Convolutional Networks for Document-level Relation Extraction., , , , , and . COLING, page 5259-5270. International Committee on Computational Linguistics, (2020)Combining Large-Scale Unlabeled Corpus and Lexicon for Chinese Polysemous Word Similarity Computation., , , , , and . CCIR, volume 10390 of Lecture Notes in Computer Science, page 198-210. Springer, (2017)Knowledge-aware Attention Network for Protein-Protein Interaction Extraction., , , , , and . CoRR, (2020)Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction., , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 16 (6): 1879-1889 (2019)Detecting hedges scope based on phrase structures and dependency structures., , , , and . NLPKE, page 415-420. IEEE, (2011)Learning temporal difference embeddings for biomedical hypothesis generation., , , and . Bioinform., 38 (23): 5253-5261 (November 2022)