Word Sense Disambiguation using Optimised Combinations of Knowledge Sources
| dc.creator | Wilks, Yorick | |
| dc.creator | Stevenson, Mark | |
| dc.date | 1998-06-22 | |
| dc.date.accessioned | 2026-07-25T21:29:17Z | |
| dc.description | Word sense disambiguation algorithms, with few exceptions, have made use of only one lexical knowledge source. We describe a system which performs unrestricted word sense disambiguation (on all content words in free text) by combining different knowledge sources: semantic preferences, dictionary definitions and subject/domain codes along with part-of-speech tags. The usefulness of these sources is optimised by means of a learning algorithm. We also describe the creation of a new sense tagged corpus by combining existing resources. Tested accuracy of our approach on this corpus exceeds 92%, demonstrating the viability of all-word disambiguation rather than restricting oneself to a small sample. | |
| dc.description | 7 pages, uses colacl.sty. To appear in the Proceedings of COLING-ACL '98 | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9806014 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9806014 | |
| dc.identifier.uri | https://dspace.dare.co.zw/handle/123456789/79976 | |
| dc.subject | Computation and Language | |
| dc.title | Word Sense Disambiguation using Optimised Combinations of Knowledge Sources | |
| dc.type | text |