Creating knowledgebases to text-mine PUBMED articles using clustering techniques.

Chiquito J. Crasto, Thomas M. Morse, Michele Migliore, Prakash Nadkarni, Michael Hines, Douglas E. Brash, Perry L. Miller, Gordon M. Shepherd

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Knowledgebase-mediated text-mining approaches work best when processing the natural language of domain-specific text. To enhance the utility of our successfully tested program-NeuroText, and to extend its methodologies to other domains, we have designed clustering algorithms, which is the principal step in automatically creating a knowledgebase. Our algorithms are designed to improve the quality of clustering by parsing the test corpus to include semantic and syntactic parsing

Original languageEnglish
Pages (from-to)821
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2003

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    Crasto, C. J., Morse, T. M., Migliore, M., Nadkarni, P., Hines, M., Brash, D. E., Miller, P. L., & Shepherd, G. M. (2003). Creating knowledgebases to text-mine PUBMED articles using clustering techniques. AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 821.