Abstract
The goal of this paper is to propose a classification of the syntactic alternations admitted by the most frequent Italian verbs. The data-driven two-steps procedure exploited and the structure of the identified classes of alternations are presented in depth and discussed. Even if this classification has been developed with a practical application in mind, namely the semi-automatic building of a VerbNet-like lexicon for Italian verbs, partly following the methodology proposed in the context of the VerbNet project, its availability may have a positive impact on several related research topics and Natural Language Processing tasks- Anthology ID:
- L14-1447
- 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:
- 1127–1134
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/541_Paper.pdf
- DOI:
- Cite (ACL):
- Gianluca Lebani, Veronica Viola, and Alessandro Lenci. 2014. Bootstrapping an Italian VerbNet: data-driven analysis of verb alternations. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 1127–1134, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- Bootstrapping an Italian VerbNet: data-driven analysis of verb alternations (Lebani et al., LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/541_Paper.pdf