SIGIR 2003 workshop on text analysis and search for bioinformatics

ABSTRACT

Bioinformatics is generally defined as the application of information technology to help solve problems in cellular and molecular biology. This covers a broad range of topics from computational models of protein folding to the storage, search, and retrieval of gene sequence data. An emerging topic of interest in this area is automatic analysis of the bio-medical scientific literature. The goals in this area generally include providing easy access to specific textual information from a potentially very large corpus, and automatically extracting information from the text in a form amenable to further, possibly more structured analysis.

REFERENCES

• 1: Chapman, W. W., W. Bridewell, et al. (2001). "A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries." <u>Journal of Biomedical Informatics</u> 34(5): 301--310.
• 2: William A. Gale , Kenneth W. Church , David Yarowsky, One sense per discourse, Proceedings of the workshop on Speech and Natural Language, February 23-26, 1992, Harriman, New York [doi>10.3115/1075527.1075579]
• 3: Shapiro, S. C. and W. J. Rapaport (1992). "The SNePS Family." <u>Computers and Mathematics with Applications</u> 23: 243--275.
• 4: Swanson, D. R. (1986). "Fish-oil, Raynaud's Syndrome, and Undiscovered Public Knowledge." <u>Perspectives in Biology and Medicine</u> 30(1): 7--18.