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EACL
2006
ACL Anthology

Classifying Biological Full-Text Articles for Multi-Database Curation

11 years 11 months ago
Classifying Biological Full-Text Articles for Multi-Database Curation
In this paper, we propose an approach for identifying curatable articles from a large document set. This system considers three parts of an article (title ract, MeSH terms, and captions) as its three individual representations and utilizes two domain-specific resources (UMLS and a tumor name list) to reveal the deep knowledge contained in the article. An SVM classifier is trained and cross-validation is employed to find the best combination of representations. The experimental results show overall high performance.
Wen-Juan Hou, Chih Lee, Hsin-Hsi Chen
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where EACL
Authors Wen-Juan Hou, Chih Lee, Hsin-Hsi Chen
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