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Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.

Z. Liu, Y. Chen, B. Tang, X. Wang, Q. Chen, H. Li, J. Wang, Q. Deng, and S. Zhu. Journal of Biomedical Informatics, (2015)

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Chinese Word Segmentation Based on Large Margin Methods.B. Tang, X. Wang, and X. Wang. Int. J. of Asian Lang. Proc., 19 (2): 55-68 (2009)A hybrid system for temporal information extraction from clinical text.B. Tang, Y. Wu, M. Jiang, Y. Chen, J. Denny, and H. Xu. JAMIA, 20 (5): 828-835 (2013)A comparison of conditional random fields and structured support vector machines for chemical entity recognition in biomedical literature.B. Tang, Y. Feng, X. Wang, Y. Wu, Y. Zhang, M. Jiang, J. Wang, and H. Xu. J. Cheminformatics, 7 (S-1): S8 (2015)LCQMC: A Large-scale Chinese Question Matching Corpus.X. Liu, Q. Chen, C. Deng, H. Zeng, J. Chen, D. Li, and B. Tang. COLING, page 1952-1962. Association for Computational Linguistics, (2018)Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings.B. Li, T. Liu, Z. Zhao, B. Tang, A. Drozd, A. Rogers, and X. Du. EMNLP, page 2421-2431. Association for Computational Linguistics, (2017)CMedTEX: A Rule-based Temporal Expression Extraction and Normalization System for Chinese Clinical Notes.Z. Liu, B. Tang, X. Wang, Q. Chen, H. Li, J. Bu, J. Jiang, Q. Deng, and S. Zhu. AMIA, AMIA, (2016)Prediction of protein binding sites in protein structures using hidden Markov support vector machine.B. Liu, X. Wang, L. Lin, B. Tang, Q. Dong, and X. Wang. BMC Bioinformatics, (2009)Diversifying Question Recommendations in Community-Based Question Answering.Y. Zhang, X. Wang, X. Wang, R. Xu, and B. Tang. ICONIP (3), volume 7064 of Lecture Notes in Computer Science, page 177-186. Springer, (2011)Reranking for Stacking Ensemble Learning.B. Tang, Q. Chen, X. Wang, and X. Wang. ICONIP (1), volume 6443 of Lecture Notes in Computer Science, page 575-584. Springer, (2010)A Deep Learning-Based System for PharmaCoNER.Y. Xiong, Y. Shen, Y. Huang, S. Chen, B. Tang, X. Wang, Q. Chen, J. Yan, and Y. Zhou. BioNLP-OST@EMNLP-IJNCLP, page 33-37. Association for Computational Linguistics, (2019)

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Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.

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Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.