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论文类型：期刊论文

发表时间：2009-03-01

发表刊物：EXPERT SYSTEMS WITH APPLICATIONS

收录刊物：SCIE、EI

卷号：36

期号：2

页面范围：2228-2233

ISSN号：0957-4174

关键字：Conditional Random Fields; Link grammar parsing; Interaction extraction; DIP

摘要：Automatic extracting protein-protein interaction information from biomedical literature can help to build protein relation network, predict protein function and design new drugs. This paper presents a protein-protein interaction extraction system BioPPIExtractor for biomedical literature. This system applies Conditional Random Fields model to tag protein names in biomedical text, then uses a link grammar parser to identify the syntactic roles in sentences and at last extracts complete interactions by analyzing the matching contents of syntactic roles and their linguistically significant combinations. Experimental evaluations with two other state of the art extraction systems indicate that BioPPlExtractor system achieves better performance. (C) 2007 Elsevier Ltd. All rights reserved.