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Semi-Supervised Noisy Label Learning for Chinese Clinical Named Entity Recognition.

, , , , , , , and . Data Intell., 3 (3): 389-401 (2021)

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Semi-Supervised Noisy Label Learning for Chinese Clinical Named Entity Recognition., , , , , , , and . Data Intell., 3 (3): 389-401 (2021)CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities., , , , , , , and . SemEval@NAACL, page 1518-1523. Association for Computational Linguistics, (2022)Enhance Both Text and Label: Combination Strategies for Improving the Generalization Ability of Medical Entity Extraction., , , , , , , , and . CCKS (Evaluation Track), volume 1553 of Communications in Computer and Information Science, page 92-101. Springer, (2021)CASIA@SMM4H'22: A Uniform Health Information Mining System for Multilingual Social Media Texts., , , , , , , , and . SMM4H@COLING, page 143-147. Association for Computational Linguistics, (2022)CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset., , , , , , , , and . EMNLP (Demos), page 275-282. Association for Computational Linguistics, (2021)Incorporate Lexicon into Self-training: A Distantly Supervised Chinese Medical NER., , , , , , , , and . NLPCC (1), volume 13028 of Lecture Notes in Computer Science, page 338-349. Springer, (2021)Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks., , , , , , , , , and 2 other author(s). SMM4H@NAACL-HLT, page 77-82. Association for Computational Linguistics, (2021)AI2Apps: A Visual IDE for Building LLM-based AI Agent Applications., , , , , and . CoRR, (2024)