Creating knowledgebases to text-mine PUBMED articles using clustering techniques.
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
Crasto
Chiquito J
CJ
Center for Medical Informatics, Yale University, New Haven, Connecticut, USA.
Morse
Thomas M
TM
Migliore
Michele
M
Nadkarni
Prakash
P
Hines
Michael
M
Brash
Douglas E
DE
Miller
Perry L
PL
Shepherd
Gordon M
GM
D000465:Algorithms; D001185:Artificial Intelligence; D019992:Databases as Topic; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D009462:Neurology; D039781:PubMed