A large scale, corpus-based approach for automatically disambiguating biomedical abbreviations

ACM Transactions on Information Systems

Volumn 24, Issue 3, 2006, Pages 380-404

  Yu, Hong ^a   Kim, Won ^b   Hatzivassiloglou, Vasileios ^c,d   Wilbur, John ^b  

^a UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

^c UNIVERSITY OF TEXAS   (United States)

^d The University of Texas at Dallas   (United States)

Author keywords

Data mining; Information retrieval; Machine learning; Word sense disambiguation

Indexed keywords

ACETYL TRANSFERASE; BIOMEDICAL ABBREVIATIONS; INFORMATION EXTRACTION; WORD SENSE DISAMBIGUATION;

ABSTRACTING; DATA MINING; INFORMATION RETRIEVAL; LEARNING SYSTEMS; MEDICAL COMPUTING; NATURAL LANGUAGE PROCESSING SYSTEMS; TEXT PROCESSING;

CHARACTER RECOGNITION;

EID: 33749588452     PISSN: 10468188     EISSN: 10468188     Source Type: Journal    
DOI: 10.1145/1165774.1165778     Document Type: Article

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