no code implementations • GWC 2016 • Anna Feltracco, Lorenzo Gatti, Elisabetta Jezek, Bernardo Magnini, Simone Magnolini
We present a methodology for building lexical sets for argument slots of Italian verbs.
no code implementations • ISA (LREC) 2022 • Marta Ricchiardi, Elisabetta Jezek
This paper describes the results of an empirical study on attitude verbs and propositional attitude reports in Italian.
no code implementations • LREC 2020 • Costanza Marini, Elisabetta Jezek
This short research paper presents the results of a corpus-based metonymy annotation exercise on a sample of 101 Croatian verb entries {--} corresponding to 457 patters and over 20, 000 corpus lines {--} taken from CROATPAS (Marini {\&} Je{\v{z}}ek, 2019), a digital repository of verb argument structures manually annotated with Semantic Type labels on their argument slots following a methodology inspired by Corpus Pattern Analysis (Hanks, 2004 {\&} 2013; Hanks {\&} Pustejovsky, 2005).
no code implementations • WS 2019 • Stephen McGregor, Elisabetta Jezek
We explore a novel application for interpreting semantic type coercions, motivated by insight into the role that perceptual affordances play in the selection of the semantic roles of artefactual nouns which are observed as arguments for verbs which would stereotypically select for objects of a different type.
no code implementations • 3 Oct 2016 • Edoardo Maria Ponti, Elisabetta Jezek, Bernardo Magnini
Lexical sets contain the words filling an argument slot of a verb, and are in part determined by selectional preferences.
no code implementations • LREC 2016 • Anna Feltracco, Simone Magnolini, Elisabetta Jezek, Bernardo Magnini
We describe an experiment for the acquisition of opposition relations among Italian verb senses, based on a crowdsourcing methodology.
no code implementations • LREC 2014 • Elisabetta Jezek, Bernardo Magnini, Anna Feltracco, Alessia Bianchini, Octavian Popescu
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.
no code implementations • LREC 2012 • Pierrette Bouillon, Elisabetta Jezek, Chiara Melloni, Aur{\'e}lie Picton
The goal of this paper is to provide an annotation scheme for compounds based on generative lexicon theory (GL, Pustejovsky, 1995; Bassac and Bouillon, 2001).