Developing a test collection for biomedical word sense disambiguation.
Ambiguity, the phenomenon that a word has more than one sense, poses difficulties for many current Natural Language Processing (NLP) systems. Algorithms that assist in the resolution of these ambiguities, i.e. which make unambiguous a word, or more generally, a text string, will boost performance of these systems. To test such techniques in the biomedical language domain, we have developed a Word Sense Disambiguation (WSD) test collection that comprises 5,000 unambiguous instances for 50 ambiguous UMLS Metathesaurus strings.
Weeber
M
M
Lister Hill National Center for Biomedical Communications, National Library of Medicine, Natioanl Institutes of Health, Bethesda, MD 20894, USA. weeber@nlm.nih.gov
Mork
J G
JG
Aronson
A R
AR
D000043:Abstracting and Indexing; D009323:Natural Language Processing; D009626:Terminology as Topic; D017432:Unified Medical Language System; D018875:Vocabulary, Controlled