Word sense disambiguation for event trigger word detection in biomedicine

BMC Bioinformatics

Proceedings

David Martinez¹  Timothy Baldwin¹ 

[1] NICTA VRL, The University of Melbourne, 3010, VIC, Australia;Department of Computer Science and Software Engineering, The University of Melbourne, 3010, VIC, Australia;

关键词: Target Word;    Word Type;    Ambiguous Word;    Vector Space Model;    Name Entity Recognition;   

DOI  :  10.1186/1471-2105-12-S2-S4

来源: Springer

【 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.

【 授权许可】

Unknown   
© Mart`Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.