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Cost decisions in the development of disease knowledge base : A case study.

, , , , , и . BIBM, стр. 62-69. IEEE Computer Society, (2014)

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Ichiro Omura

Thomas Mai

Carolin Mai

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Practical approach for disease similarity calculation based on disease phenotype, etiology, and locational clues in disease names., , и . BIBM, стр. 1002-1009. IEEE Computer Society, (2016)Geometrical mapping of diseases with calculated similarity measure., , и . BIBM, стр. 1131-1134. IEEE Computer Society, (2017)UD_Japanese-CEJC: Dependency Relation Annotation on Corpus of Everyday Japanese Conversation., , , и . SIGDIAL, стр. 324-335. Association for Computational Linguistics, (2023)Discriminating between Relevant and Irrelevant Text for Fact Validation., , , , и . NTCIR, National Institute of Informatics (NII), (2014)UD-Japanese BCCWJ: Universal Dependencies Annotation for the Balanced Corpus of Contemporary Written Japanese., и . UDW@EMNLP, стр. 117-125. Association for Computational Linguistics, (2018)Disease Similarity Calculation on Simplified Disease Knowledge Base for Clinical Decision Support Systems., , и . FLAIRS, стр. 501-506. AAAI Press, (2015)Universal Dependencies Version 2 for Japanese., , , , , , , , и . LREC, European Language Resources Association (ELRA), (2018)Incorporating Unsupervised Features into CRF based Named Entity Recognition., , и . NTCIR, National Institute of Informatics (NII), (2014)KitAi: Textual Entailment Recognition System for NTCIR-10 RITE2., , , и . NTCIR, National Institute of Informatics (NII), (2013)Cost decisions in the development of disease knowledge base : A case study., , , , , и . BIBM, стр. 62-69. IEEE Computer Society, (2014)