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A Survey of State of the Art Biomedical Text Mining Techniques for Semantic Analysis.

, , , , , and . SUTC, page 410-417. IEEE Computer Society, (2008)

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Exploiting likely-positive and unlabeled data to improve the identification of protein-protein interaction articles., , , , and . BMC Bioinform., (2008)Joint Learning of Entity Linking Constraints Using a Markov-Logic Network., , and . IJCLCLP, (2014)BIOSMILE web search: a web application for annotating biomedical entities and relations., , , , and . Nucleic Acids Res., 36 (Web-Server-Issue): 390-398 (2008)Principle-Based Approach for the De-Identification of Code-Mixed Electronic Health Records., , , , , , , , , and 2 other author(s). IEEE Access, (2022)LiverCancerMarkerRIF: a liver cancer biomarker interactive curation system combining text mining and expert annotations., , , , , , , and . Database J. Biol. Databases Curation, (2014)Statistical principle-based approach for recognizing and normalizing microRNAs described in scientific literature., , , , , , and . Database J. Biol. Databases Curation, (2019)SPRENO: a BioC module for identifying organism terms in figure captions., and . Database J. Biol. Databases Curation, (2018)Exploiting unlabeled internal data in conditional random fields to reduce word segmentation errors for Chinese texts., , , and . INTERSPEECH, page 2885-2888. ISCA, (2007)TEMPTING system: A hybrid method of rule and machine learning for temporal relation extraction in patient discharge summaries., , , , , and . J. Biomed. Informatics, 46 (6): S54-S62 (2013)Global Ranking via Data Fusion., , , and . COLING (Posters), page 223-231. Chinese Information Processing Society of China, (2010)