The role of roles in classifying annotated biomedical text

ACL 2007 - Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing

Volumn , Issue , 2007, Pages 17-24

  Doan, Son ^a   Kawazoe, Ai ^a   Collier, Nigel ^a  

^a NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; NATURAL LANGUAGE PROCESSING SYSTEMS; TRANSLATION (LANGUAGES);

BIOMEDICAL TEXT; IMPROVE PERFORMANCE; INFECTIOUS DISEASE; NAMED ENTITIES; ONTOLOGICAL METHODOLOGIES; PUBLIC HEALTH PROTECTION; TEXT CLASSIFICATION; TEXT MINING;

TEXT PROCESSING;

EID: 70349455609     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1572392.1572396     Document Type: Conference Paper

References (21)

1. S. Bloehdorn and A. Hotho. 2004. Boosting for text classification with semantic features. In Proc. of the Workshop on Mining for and from the Semantic Web at the 10th ACM SIGKDD 2004, pages 70–87.
2. A.M. Cohen and W.R. Hersh. 2005. A survey of current work in biomedical text mining. Briefing in BioInfor-matics, 6(3):57–71.
3. N. Collier. 2006. BioCaster text mining project. http://biocaster.nii.ac.jp.
4. J. Frürnkranz, T. Mitchell, and E. Riloff. 1998. A case study in using linguistic phrases for text categorization on the WWW. In Working Notes of the AAAI/ICML Workshop on Learning for Text Categorization, pages 5–13.
5. N. Guarino and C. Welty. 2000a. A formal ontology of properties. In Proceedings of the 2000 Conference on Knowledge Engineering and Knowledge Management (EKAW-2000), pages 97–112.
6. N. Guarino and C. Welty. 2000b. Ontological analysis of taxonomic relations. In Proceedings of the International Conference on Conceptual Modeling, pages 210–224.
7. A. Hotho, S. Staab, and G. Stumme. 2003. WordNet improves text document clustering. In Proc. of the SIGIR 2003 Semantic Web Workshop, 2003.
8. International Society for Infectious Diseases. 2001. Promed mail. http://www.promedmail.org.
9. A. Kawazoe, L. Jin, M. Shigematsu, R. Barrero, K. Taniguchi, and N. Collier. 2006. The development of a schema for the annotation of terms in the BioCaster disease detection/tracking system. In Proceedings of the International Workshop on Biomedical Ontology in Action (KR-MED 2006), pages 77–85.
10. M. Krauthammer and G. Nenadic. 2004. Term identification in the biomedical literature. Journal of Biomedical Informatics, 37(6):512–526.
11. T. Kudo and Y. Matsumoto. 2004. A boosting algorithm for classification of semi-structured text. In Proceedings of the 2004 Conference on Empirical Methods in NLP, pages 301–308.
12. A.K. McCallum. 1996. Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering. http://www.cs.cmu.edu/mccallum/bow.
13. T.M. Mitchell. 1997. Machine Learning. McGraw-Hill.
14. Public Health Agency of Canada. 2004. Global Public Heath Intelligence Network (GPHIN). http://www.gphin.org.
15. S. Scott and S. Matwin. 1999. Feature engineering for text classification. In Proc. of International Conference on Machine Learning 1999, pages 379–388.
16. F. Sebastiani. 2002. Machine learning in automated text categorization. ACM computing survey, 34(1):1–47.
17. W. J. Wilbur, A. Rzhetsky, and H. Shatkay. 2006. New directions in biomedical text annotation: definition, guidelines and corpus construction. BMC Bioinfor-matics, 7(356):1471–2105.
18. World Health Organization. 2004. ICD10, International Statistical Classification of Diseases and Related Health Problems, Tenth Revision.
19. Y. Yang and X. Liu. 1999. A re-examination of text categorization methods. In Proc. of 22th ACM Int’l. Conf. on Research and Development in Information Retrieval, pages 42–49.
20. Y. Yang. 1999. An evaluation of statistical approaches to text categorization. Information Retrieval Journal, 1:69–90.
21. M.J. Zaki and C.C. Aggarwal. 2003. XRules: an effective structural classifier for XML data. In Proceedings of the ninth ACM SIGKDD International Conference, 2003, pages 316–325.