Classifying biological full-text articles for multi-database curation

Wen Juan Hou, Chih Lee, Hsin Hsi Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationEACL 2006 - 11th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages159-162
Number of pages4
ISBN (Print)1932432590, 9781932432596
DOIs
Publication statusPublished - 2006 Jan 1
Event11th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2006 - Trento, Italy
Duration: 2006 Apr 32006 Apr 7

Publication series

NameEACL 2006 - 11th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference

Other

Other11th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2006
CountryItaly
CityTrento
Period06/4/306/4/7

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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  • Cite this

    Hou, W. J., Lee, C., & Chen, H. H. (2006). Classifying biological full-text articles for multi-database curation. In EACL 2006 - 11th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference (pp. 159-162). (EACL 2006 - 11th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1608974.1608997