We present a methodology for building lexical sets for argument slots of Italian verbs. We start from an inventory of semantically typed Italian verb frames and through a mapping to WordNet we automatically annotate the sets of fillers for the argument positions in a corpus of sentences. We evaluate both a baseline algorithm and a syntax driven algorithm and show that the latter performs significantly better in terms of precision.
Using WordNet to build lexical sets for Italian verbs / Feltracco, Anna; Gatti, Lorenzo; Magnolini, Simone; Magnini, Bernardo; Jezek, Elisabetta. - (2016), pp. 100-104. (Intervento presentato al convegno 8th Global WordNet Conference, GWC 2016 tenutosi a București nel 27th January-30th January 2016).
Using WordNet to build lexical sets for Italian verbs
Feltracco, Anna;Gatti, Lorenzo;Magnini, Bernardo;Jezek, Elisabetta
2016-01-01
Abstract
We present a methodology for building lexical sets for argument slots of Italian verbs. We start from an inventory of semantically typed Italian verb frames and through a mapping to WordNet we automatically annotate the sets of fillers for the argument positions in a corpus of sentences. We evaluate both a baseline algorithm and a syntax driven algorithm and show that the latter performs significantly better in terms of precision.| File | Dimensione | Formato | |
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