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

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

Center for BioTechnology Genomics

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	821
Number of pages	1
Journal	AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
State	Published - 2003

Cite this

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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",

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AU - Crasto, Chiquito J.

AU - Morse, Thomas M.

AU - Migliore, Michele

AU - Nadkarni, Prakash

AU - Hines, Michael

AU - Brash, Douglas E.

AU - Miller, Perry L.

AU - Shepherd, Gordon M.

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AB - 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

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AN - SCOPUS:16544389444

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JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

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

Abstract

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