Inducing Sense-Discriminating Context Patterns from Sense-Tagged Corpora
Abstract
Traditionally, context features used in word sense disambiguation are based on collocation statistics and use only minimal syntactic and semantic information. Corpus Pattern Analysis is a technique for producing knowledge-rich context features that capture sense distinctions. It involves (1) identifying sense-carrying context patterns and using the derived context features to discriminate between the unseen instances. Both stages require manual seeding. In this paper, we show how to automate inducing sense-discriminating context features from a sense-tagged corpus.- Anthology ID:
- L06-1438
- Volume:
- Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
- Month:
- May
- Year:
- 2006
- Address:
- Genoa, Italy
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Aldo Gangemi, Bente Maegaard, Joseph Mariani, Jan Odijk, Daniel Tapias
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2006/pdf/706_pdf.pdf
- DOI:
- Cite (ACL):
- Anna Rumshisky and James Pustejovsky. 2006. Inducing Sense-Discriminating Context Patterns from Sense-Tagged Corpora. In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy. European Language Resources Association (ELRA).
- Cite (Informal):
- Inducing Sense-Discriminating Context Patterns from Sense-Tagged Corpora (Rumshisky & Pustejovsky, LREC 2006)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2006/pdf/706_pdf.pdf