Abstract
In this paper we present an analysis of different semantic relations extracted from WordNet, Extended WordNet and SemCor, with respect to their role in the task of knowledge-based word sense disambiguation. The experiments use the same algorithm and the same test sets, but different variants of the knowledge graph. The results show that different sets of relations have different impact on the results: positive or negative. The beneficial ones are discussed with respect to the combination of relations and with respect to the test set. The inclusion of inference has only a modest impact on accuracy, while the addition of syntactic relations produces stable improvement over the baselines.- Anthology ID:
- 2016.gwc-1.55
- Volume:
- Proceedings of the 8th Global WordNet Conference (GWC)
- Month:
- 27--30 January
- Year:
- 2016
- Address:
- Bucharest, Romania
- Editors:
- Christiane Fellbaum, Piek Vossen, Verginica Barbu Mititelu, Corina Forascu
- Venue:
- GWC
- SIG:
- SIGLEX
- Publisher:
- Global Wordnet Association
- Note:
- Pages:
- 396–403
- Language:
- URL:
- https://aclanthology.org/2016.gwc-1.55
- DOI:
- Cite (ACL):
- Kiril Simov, Alexander Popov, and Petya Osenova. 2016. The Role of the WordNet Relations in the Knowledge-based Word Sense Disambiguation Task. In Proceedings of the 8th Global WordNet Conference (GWC), pages 396–403, Bucharest, Romania. Global Wordnet Association.
- Cite (Informal):
- The Role of the WordNet Relations in the Knowledge-based Word Sense Disambiguation Task (Simov et al., GWC 2016)
- PDF:
- https://preview.aclanthology.org/naacl-24-ws-corrections/2016.gwc-1.55.pdf