Abstract
The present paper describes the construction of a resource to determine the lexical preference class of a large number of English noun-senses (≈ 14,000) with respect to the distinction between mass and count interpretations. In constructing the lexicon, we have employed a questionnaire-based approach based on existing resources such as the Open ANC (http://www.anc.org) and WordNet (CITATION). The questionnaire requires annotators to answer six questions about a noun-sense pair. Depending on the answers, a given noun-sense pair can be assigned to fine-grained noun classes, spanning the area between count and mass. The reference lexicon contains almost 14,000 noun-sense pairs. An initial data set of 1,000 has been annotated together by four native speakers, while the remaining 12,800 noun-sense pairs have been annotated in parallel by two annotators each. We can confirm the general feasibility of the approach by reporting satisfactory values between 0.694 and 0.755 in inter-annotator agreement using Krippendorff’s 𝛼.- Anthology ID:
- L14-1312
- 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:
- 995–1000
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/361_Paper.pdf
- DOI:
- Cite (ACL):
- Tibor Kiss, Francis Jeffry Pelletier, and Tobias Stadtfeld. 2014. Building a reference lexicon for countability in English. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 995–1000, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- Building a reference lexicon for countability in English (Kiss et al., LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/361_Paper.pdf