no code implementations • COLING 2022 • Mattia Proietti, Gianluca Lebani, Alessandro Lenci
Contextual embeddings build multidimensional representations of word tokens based on their context of occurrence.
no code implementations • WS 2016 • Gianluca Lebani, Aless Lenci, ro
Notwithstanding the success of the notion of construction, the computational tradition still lacks a way to represent the semantic content of these linguistic entities.
no code implementations • LREC 2016 • Giulia Rambelli, Gianluca Lebani, Laurent Pr{\'e}vot, Aless Lenci, ro
This paper introduces LexFr, a corpus-based French lexical resource built by adapting the framework LexIt, originally developed to describe the combinatorial potential of Italian predicates.
no code implementations • LREC 2014 • Lauren Romeo, Gianluca Lebani, N{\'u}ria Bel, Aless Lenci, ro
This paper empirically evaluates the performances of different state-of-the-art distributional models in a nominal lexical semantic classification task.
no code implementations • LREC 2014 • Gianluca Lebani, Veronica Viola, Aless Lenci, ro
The goal of this paper is to propose a classification of the syntactic alternations admitted by the most frequent Italian verbs.