Summary of the paper

Title T-PAS; A resource of Typed Predicate Argument Structures for linguistic analysis and semantic processing
Authors Elisabetta Jezek, Bernardo Magnini, Anna Feltracco, Alessia Bianchini and 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).
Topics Lexicon, Lexical Database, Ontologies
Full paper T-PAS; A resource of Typed Predicate Argument Structures for linguistic analysis and semantic processing
Bibtex @InProceedings{JEZEK14.465,
  author = {Elisabetta Jezek and Bernardo Magnini and Anna Feltracco and Alessia Bianchini and Octavian Popescu},
  title = {T-PAS; A resource of Typed Predicate Argument Structures for linguistic analysis and semantic processing},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
 }
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