SaRAD: a Simple and Robust Abbreviation Dictionary.
BACKGROUND
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.
Adar
Eytan
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HP Laboratories, 1501 Page Mill Rd, Palo Alto, CA 94304, USA. eytan@hpl.hp.com
D000004:Abbreviations as Topic; D000465:Algorithms; D016000:Cluster Analysis; D003628:Database Management Systems; D016206:Databases, Bibliographic; D016208:Databases, Factual; D004018:Dictionaries, Medical as Topic; D016239:MEDLINE; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated; D010506:Periodicals as Topic; D011786:Quality Control; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software; D012986:Software Validation; D009626:Terminology as Topic; D018875:Vocabulary, Controlled