| Literature DB >> 14728326 |
Chiquito J Crasto1, Thomas M Morse, Michele Migliore, Prakash Nadkarni, Michael Hines, Douglas E Brash, Perry L Miller, Gordon M Shepherd.
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 parsingMesh:
Year: 2003 PMID: 14728326 PMCID: PMC1479923
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN: 1559-4076