Eytan Adar1. 1. HP Laboratories, 1501 Page Mill Rd, Palo Alto, CA 94304, USA. eytan@hpl.hp.com
Abstract
MOTIVATION: Due to recent interest in the use of textual material to augment traditional experiments it has become necessary to automatically cluster, classify and filter natural language information. RESULTS: The Simple and Robust Abbreviation Dictionary (SaRAD) provides an easy to implement, high performance tool for the construction of a biomedical symbol dictionary. The algorithms, applied to the MEDLINE document set, result in a high quality dictionary and toolset to disambiguate abbreviation symbols automatically.
MOTIVATION: Due to recent interest in the use of textual material to augment traditional experiments it has become necessary to automatically cluster, classify and filter natural language information. RESULTS: The Simple and Robust Abbreviation Dictionary (SaRAD) provides an easy to implement, high performance tool for the construction of a biomedical symbol dictionary. The algorithms, applied to the MEDLINE document set, result in a high quality dictionary and toolset to disambiguate abbreviation symbols automatically.
Authors: Sungrim Moon; Serguei Pakhomov; Nathan Liu; James O Ryan; Genevieve B Melton Journal: J Am Med Inform Assoc Date: 2013-06-27 Impact factor: 4.497
Authors: Jonathan D Wren; Jeffrey T Chang; James Pustejovsky; Eytan Adar; Harold R Garner; Russ B Altman Journal: Nucleic Acids Res Date: 2005-01-01 Impact factor: 16.971