Classifying biological full-text articles for multi-database curation

Wen Juan Hou, Chih Lee, Hsin Hsi Chen

研究成果: 書貢獻/報告類型會議論文篇章

2 引文 斯高帕斯(Scopus)

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.

原文英語
主出版物標題EACL 2006 - 11th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference
發行者Association for Computational Linguistics (ACL)
頁面159-162
頁數4
ISBN(列印)1932432590, 9781932432596
DOIs
出版狀態已發佈 - 2006
事件11th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2006 - Trento, 意大利
持續時間: 2006 四月 32006 四月 7

出版系列

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

其他

其他11th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2006
國家/地區意大利
城市Trento
期間2006/04/032006/04/07

ASJC Scopus subject areas

  • 語言與語言學
  • 語言和語言學

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