Word sense disambiguation for event trigger word detection in biomedicine

被引：0

作者：

David Martinez

Timothy Baldwin

机构：

[1] The University of Melbourne,NICTA VRL

[2] The University of Melbourne,Department of Computer Science and Software Engineering

来源：

BMC Bioinformatics | / 12卷

关键词：

Target Word; Word Type; Ambiguous Word; Vector Space Model; Name Entity Recognition;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This paper describes a method for detecting event trigger words in biomedical text based on a word sense disambiguation (WSD) approach. We first investigate the applicability of existing WSD techniques to trigger word disambiguation in the BioNLP 2009 shared task data, and find that we are able to outperform a traditional CRF-based approach for certain word types. On the basis of this finding, we combine the WSD approach with the CRF, and obtain significant improvements over the standalone CRF, gaining particularly in recall.

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