Extracting Protein-Protein Interaction Information from Biomedical Text with SVM

Tomohiro MITSUMORI  Masaki MURATA  Yasushi FUKUDA  Kouichi DOI  Hirohumi DOI  

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
SVM,  information extraction,  protein interaction,  

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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.