Using Hedges to Enhance a Disease Outbreak Report Text Mining System

BioNLP 2009 - Biomedical Natural Language Processing Workshop, BioNLP 2009 - held in conjunction with 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2009 - Proceedings

Volumn , Issue , 2009, Pages 142-143

  Conway, Mike ^a   Collier, Nigel ^b   Doan, Son ^b  

^a NATIONAL INSTITUTE OF INFORMATICS   (Japan)

^b VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 79960200855     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. N. Collier, S. Doan, A. Kawazoe, R. Matsuda-Goodwin, M. Conway, Y. Tateno, Q-H. Ngo, D. Dien, A. Kawtrakul, K. Takeuchi, M. Shigematsu, and K. Taniguichi. 2008. BioCaster: Detecting Public Health Rumors with a Web-based Text Mining System. Bioinformatics, 24(24):2940-2941.
2. M. Conway, S. Doan, A. Kawazoe, and N. Collier. 2008. Classifying Disease Outbreak Reports Using N-grams and Semantic Features. Proceedings of the Third International Symposium on Semantic Mining in Biomedicine (SMBM 2008), Turku, Finland, pages 29-36.
3. K. Hyland. 1998. Hedging in Scientific Research Articles. John Benjamins, Amsterdam.
4. H. Kilicoglu and S. Bergler. 2008. Recognizing Speculative Language in Biomedical Research Articles: A Linguistically Motivated Perspective. BMC Bioinformatics, 9(Suppl 11):S10.
5. R. Mercer, C. DiMarco, and F. Kroon. 2004. The Frequency of Hedging Cues in Citation Contexts in Scientific Writing. In Proceedings of the Canadian Conference on AI, pages 75-88.