T-PAS; A resource of Typed Predicate Argument Structures for linguistic analysis and semantic processing

Elisabetta Jezek, Bernardo Magnini, Anna Feltracco, Alessia Bianchini, Octavian Popescu

Abstract
The goal of this paper is to introduce T-PAS, a resource of typed predicate argument structures for Italian, acquired from corpora by manual clustering of distributional information about Italian verbs, to be used for linguistic analysis and semantic processing tasks. T-PAS is the first resource for Italian in which semantic selection properties and sense-in-context distinctions of verbs are characterized fully on empirical ground. In the paper, we first describe the process of pattern acquisition and corpus annotation (section 2) and its ongoing evaluation (section 3). We then demonstrate the benefits of pattern tagging for NLP purposes (section 4), and discuss current effort to improve the annotation of the corpus (section 5). We conclude by reporting on ongoing experiments using semiautomatic techniques for extending coverage (section 6).
Anthology ID:
L14-1393
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:
890–895
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/465_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Elisabetta Jezek, Bernardo Magnini, Anna Feltracco, Alessia Bianchini, and Octavian Popescu. 2014. T-PAS; A resource of Typed Predicate Argument Structures for linguistic analysis and semantic processing. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 890–895, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
T-PAS; A resource of Typed Predicate Argument Structures for linguistic analysis and semantic processing (Jezek et al., LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/465_Paper.pdf
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