Classifying biological articles using web resources

Authors:
Francisco M. Couto;Bruno Martins;Mário J. Silva
Affiliations:
Faculdade de Ciências da Universidade de Lisboa, Campo Grande, Lisboa, Portugal;Faculdade de Ciências da Universidade de Lisboa, Campo Grande, Lisboa, Portugal;Faculdade de Ciências da Universidade de Lisboa, Campo Grande, Lisboa, Portugal
Venue:
Proceedings of the 2004 ACM symposium on Applied computing
Year:
2004

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Abstract

Text classification systems on biomedical literature aim to select relevant articles to a specific issue from large corpora. Most systems with an acceptable accuracy are based on domain knowledge, which is very expensive and does not provide a general solution. This paper presents a novel approach for text classification on biomedical literature, involving the use of information extracted from related web resources. We validated this approach by implementing the proposed method and testing it on the KDD2002 Cup challenge: bio-text task. Results show that our approach can effectively improve efficiency on text classification systems for biomedical literature.