Building Accurate Semantic Taxonomies from Monolingual MRDs
| dc.creator | Rigau, German | |
| dc.creator | Rodriguez, Horacio | |
| dc.creator | Agirre, Eneko | |
| dc.date | 1998-06-23 | |
| dc.date.accessioned | 2026-07-07T02:36:17Z | |
| dc.date.available | 2026-07-07T02:36:17Z | |
| dc.description | This paper presents a method that combines a set of unsupervised algorithms in order to accurately build large taxonomies from any machine-readable dictionary (MRD). Our aim is to profit from conventional MRDs, with no explicit semantic coding. We propose a system that 1) performs fully automatic exraction of taxonomic links from MRD entries and 2) ranks the extracted relations in a way that selective manual refinement is allowed. Tested accuracy can reach around 100% depending on the degree of coverage selected, showing that taxonomy building is not limited to structured dictionaries such as LDOCE. | |
| dc.description | 7 pages, postscript file. In COLIN-ACL'98 | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9806015 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9806015 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/15859 | |
| dc.subject | Computation and Language | |
| dc.title | Building Accurate Semantic Taxonomies from Monolingual MRDs | |
| dc.type | text |