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Identifying Protein Interaction Abstracts with Contextual Bag of Words., , and . AAAI, page 1870-1871. AAAI Press, (2007)Enhance Japanese Opinionated Sentence Identification Using Linguistic Features: Experiences of the IISR Group at NTCIR-8 MOAT Task., , , and . NTCIR, page 272-275. National Institute of Informatics (NII), (2010)Chinese text segmentation: A hybrid approach using transductive learning and statistical association measures.. Expert Syst. Appl., 37 (5): 3553-3560 (2010)New Challenges for Biological Text-Mining in the Next Decade., , , and . J. Comput. Sci. Technol., 25 (1): 169-179 (2009)A supervised learning approach to biological question answering., , , , , and . Integrated Computer-Aided Engineering, 16 (3): 271-281 (2009)Using conditional random fields for result identification in biomedical abstracts., , , , and . Integrated Computer-Aided Engineering, 16 (4): 339-352 (2009)LiverCancerMarkerRIF: a liver cancer biomarker interactive curation system combining text mining and expert annotations., , , , , , , and . Database, (2014)A context-aware approach for progression tracking of medical concepts in electronic medical records., , , , , and . Journal of Biomedical Informatics, (2015)On Closed Task of Chinese Word Segmentation: An Improved CRF Model Coupled with Character Clustering and Automatically Generated Template Matching., , , , and . SIGHAN@COLING/ACL, page 134-137. Association for Computational Linguistics, (2006)Modeling the Relationship among Linguistic Typological Features with Hierarchical Dirichlet Process., , and . PACLIC, page 741-747. City University of Hong Kong Press, (2009)