Name
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 disambiguate 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 comprizes 5,000 disambiguated instances for 50 ambiguous UMLS(R) Metathesaurus(R) strings. |
Year | Venue | Keywords |
|---|---|---|
2001 | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | natural language processing,unified medical language system |
Field | DocType | Issue |
SemEval,Information retrieval,Computer science,Artificial intelligence,Natural language processing,Phenomenon,Umls metathesaurus,Unified Medical Language System,Ambiguity,Word-sense disambiguation | Conference | SUPnan |
ISSN | Citations | PageRank |
1067-5027 | 64 | 3.44 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marc Weeber | 1 | 457 | 34.63 |
| James G. Mork | 2 | 647 | 65.22 |
| Alan R. Aronson | 3 | 2551 | 260.67 |