Abstract
We present an approach to the disambiguation of cluster labels that capitalizes on the notion of semantic similarity to assign WordNet senses to cluster labels. The approach provides interesting insights on how document clustering can provide the basis for developing a novel approach to word sense disambiguation.- Anthology ID:
- L04-1235
- Volume:
- Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)
- Month:
- May
- Year:
- 2004
- Address:
- Lisbon, Portugal
- Editors:
- Maria Teresa Lino, Maria Francisca Xavier, Fátima Ferreira, Rute Costa, Raquel Silva
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2004/pdf/406.pdf
- DOI:
- Cite (ACL):
- Antonio Sanfilippo, Gus Calapristi, Vernon Crow, Beth Hetzler, and Alan Turner. 2004. Meaningful Clusters. In Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04), Lisbon, Portugal. European Language Resources Association (ELRA).
- Cite (Informal):
- Meaningful Clusters (Sanfilippo et al., LREC 2004)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2004/pdf/406.pdf