论文类型：期刊论文
发表刊物：Journal of Information and Computational Science
收录刊物：Scopus、EI
卷号：7
期号：5
页面范围：1065-1073
摘要：Automatically extracting protein-protein interaction (PPI) from biological literature is an important and challenging task in natural language processing (NLP). In this paper, we use an ensemble kernel to extract the PPI information. This ensemble kernel is composed with feature-based kernel and structure- based kernel using the parse tree of a sentence containing two protein names. Experiments conducted on the IEPA corpus show that this ensemble kernel is efficient at extracting protein-protein interaction information. The recall, precision and f-score on the IEPA corpus are 73.03%, 82.09% and 77.28% respectively, which outperform most of the state-of-the-art systems. Copyright ?. 2010 Binary Information Press.