期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2006
卷号：2006
出版社：ACL Anthology
摘要：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
and abstract, 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.
