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Document classification for mining host pathogen protein-protein interactions.

, , , , , , , and . Artif. Intell. Medicine, 49 (3): 155-160 (2010)

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Using natural language processing to extract health-related causality from Twitter messages., , , and . CoRR, (2019)An exploratory study of a text classification framework for Internet-based surveillance of emerging epidemics. (2011)Classifier Ensemble for Biomedical Document Retrieval., and . LBM (Short Papers), volume 319 of CEUR Workshop Proceedings, CEUR-WS.org, (2007)An Investigation of Various Information Sources for Classifying Biological names., , and . BioNLP@ACL, page 113-120. (2003)Rapid Adaptation of POS Tagging for Domain Specific Uses., , , and . BioNLP@NAACL-HLT, page 118-119. Association for Computational Linguistics, (2006)iSimp: A sentence simplification system for biomedicail text., , , , and . BIBM, page 1-6. IEEE Computer Society, (2012)Learning from Positive and Unlabeled Documents for Retrieval of Bacterial Protein-Protein Interaction Literature., , , , and . BioLINK@ISMB/ECCB, volume 6004 of Lecture Notes in Computer Science, page 62-70. Springer, (2008)Extracting health-related causality from twitter messages using natural language processing., , , , , and . BMC Medical Informatics Decis. Mak., 19-S (3): 71-77 (2019)Research Paper: Quantitative Assessment of Dictionary-based Protein Named Entity Tagging., , , , and . J. Am. Medical Informatics Assoc., 13 (5): 497-507 (2006)BioC: a minimalist approach to interoperability for biomedical text processing., , , , , , , , , and 5 other author(s). Database J. Biol. Databases Curation, (2013)