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Extracting Protein-Protein Interaction Information from Biomedical Text with SVM Tomohiro MITSUMORI Masaki MURATA Yasushi FUKUDA Kouichi DOI Hirohumi DOI Publication IEICE TRANSACTIONS on Information and Systems Vol.E89-D No.8 pp.2464-2466 Publication Date: 2006/08/01 Online ISSN: 1745-1361 DOI: 10.1093/ietisy/e89-d.8.2464 Print ISSN: 0916-8532 Type of Manuscript: LETTER Category: Natural Language Processing Keyword: SVM, information extraction, protein interaction, Full Text: PDF(181KB)>>
Summary: Automated information extraction systems from biomedical text have been reported. Some systems are based on manually developed rules or pattern matching. Manually developed rules are specific for analysis, however, new rules must be developed for each new domain. Although the corpus must be developed by human effort, a machine-learning approach automatically learns the rules from the corpus. In this article, we present a system for automatically extracting protein-protein interaction information from biomedical text with support vector machines (SVMs). We describe the performance of our system and compare its ability to extract protein-protein interaction information with that of other systems. | ||||||||||
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