Title
SemCat: semantically categorized entities for genomics.
Abstract
We describe the construction of a semantic database called SemCat consisting of a large number of semantically categorized names relevant to genomics. SemCat can be used to facilitate natural language processing in MEDLINE. We present suitable application areas including biomedical name classification and named entity recognition.
Year
Venue
Keywords
2006
AMIA
natural language processing,semantics,algorithms,genomics
Field
DocType
ISSN
Information retrieval,Computer science,Genomics,Artificial intelligence,Natural language processing,Named-entity recognition,MEDLINE,Semantics
Conference
1942-597X
Citations 
PageRank 
References 
9
0.65
0
Authors
5
Name
Order
Citations
PageRank
Lorraine Tanabe138329.80
Lynne H Thom21107.44
Wayne Matten31158.58
Donald C. Comeau424715.37
W John Wilbur526715.23