Abstract
The aim of this paper is to introduce LexIt, a computational framework for the automatic acquisition and exploration of distributional information about Italian verbs, nouns and adjectives, freely available through a web interface at the address http://sesia.humnet.unipi.it/lexit. LexIt is the first large-scale resource for Italian in which subcategorization and semantic selection properties are characterized fully on distributional ground: in the paper we describe both the process of data extraction and the evaluation of the subcategorization frames extracted with LexIt.- Anthology ID:
- L12-1356
- Volume:
- Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
- Month:
- May
- Year:
- 2012
- Address:
- Istanbul, Turkey
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 3712–3718
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/622_Paper.pdf
- DOI:
- Cite (ACL):
- Alessandro Lenci, Gabriella Lapesa, and Giulia Bonansinga. 2012. LexIt: A Computational Resource on Italian Argument Structure. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 3712–3718, Istanbul, Turkey. European Language Resources Association (ELRA).
- Cite (Informal):
- LexIt: A Computational Resource on Italian Argument Structure (Lenci et al., LREC 2012)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/622_Paper.pdf