Augmenting English Adjective Senses with Supersenses
Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, Archna Bhatia, Manaal Faruqui, Chris Dyer
Abstract
We develop a supersense taxonomy for adjectives, based on that of GermaNet, and apply it to English adjectives in WordNet using human annotation and supervised classification. Results show that accuracy for automatic adjective type classification is high, but synsets are considerably more difficult to classify, even for trained human annotators. We release the manually annotated data, the classifier, and the induced supersense labeling of 12,304 WordNet adjective synsets.- Anthology ID:
- L14-1073
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 4359–4365
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/1096_Paper.pdf
- DOI:
- Cite (ACL):
- Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, Archna Bhatia, Manaal Faruqui, and Chris Dyer. 2014. Augmenting English Adjective Senses with Supersenses. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4359–4365, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- Augmenting English Adjective Senses with Supersenses (Tsvetkov et al., LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/1096_Paper.pdf