Word Sense Disambiguation using Conceptual Density
| dc.creator | Agirre, Eneko | |
| dc.creator | Rigau, German | |
| dc.date | 1996-06-07 | |
| dc.date.accessioned | 2026-07-07T09:10:22Z | |
| dc.date.available | 2026-07-07T09:10:22Z | |
| dc.description | This paper presents a method for the resolution of lexical ambiguity of nouns and its automatic evaluation over the Brown Corpus. The method relies on the use of the wide-coverage noun taxonomy of WordNet and the notion of conceptual distance among concepts, captured by a Conceptual Density formula developed for this purpose. This fully automatic method requires no hand coding of lexical entries, hand tagging of text nor any kind of training process. The results of the experiments have been automatically evaluated against SemCor, the sense-tagged version of the Brown Corpus. | |
| dc.description | Postscript version. 8 pages. To appear in the proceedings of COLING 1996 | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9606007 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9606007 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/151330 | |
| dc.subject | Computation and Language | |
| dc.title | Word Sense Disambiguation using Conceptual Density | |
| dc.type | text |