In this paper we investigate the applicability of automatic methods for frame induction to improve the coverage of IFrameNet, a novel lexical resource based on Frame Semantics in Italian. The experimental evaluations show that the adopted methods based on neural word embeddings pave the way for the assisted development of a large scale lexical resource for our language.
Brambilla, S., Croce, D., Tamburini, F., Basili, R. (2020). Automatic induction of framenet lexical units in Italian. In CEUR Workshop Proceedings. CEUR-WS.
Automatic induction of framenet lexical units in Italian
Croce D.;Basili R.
2020-12-01
Abstract
In this paper we investigate the applicability of automatic methods for frame induction to improve the coverage of IFrameNet, a novel lexical resource based on Frame Semantics in Italian. The experimental evaluations show that the adopted methods based on neural word embeddings pave the way for the assisted development of a large scale lexical resource for our language.File in questo prodotto:
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