Work

Developing a test collection for biomedical word sense disambiguation.

Year: 2001

Type: article

Abstract: 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.

Source: Europe PMC (PubMed Central)

Authors: M Weeber, J G Mork, A R Aronson

Institutions: National Institutes of Health, United States National Library of Medicine

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1532254950

FWCI: 4.13

Cites: 13

Cited by: 139

Related to: 10