Italian VerbNet: A Construction based Approach to Italian Verb Classification

Lucia Busso, Alessandro Lenci

Research output: Chapter in Book/Report/Conference proceedingConference publication

Abstract

This paper proposes a new method for Italian verb classification -and a preliminary example of resulting classes- inspired by Levin (1993) and VerbNet (Kipper-Schuler, 2005), yet partially independent from these resources; we achieved such a result by integrating Levin and VerbNet’s models of classification with other theoretic frameworks and resources. The classification is rooted in the constructionist framework (Goldberg, 1995; 2006) and is distribution-based. It is also semantically characterized by a link to FrameNet’ssemanticframesto represent the event expressed by a class. However, the new Italian classes maintain the hierarchic “tree” structure and monotonic nature of VerbNet’s classes, and, where possible, the original names (e.g.: Verbs of Killing, Verbs of Putting, etc.). We therefore propose here a taxonomy compatible with VerbNet but at the same time adapted to Italian syntax and semantics. It also addresses a number of problems intrinsic to the original classifications, such as the role of argument alternations, here regarded simply as epiphenomena, consistently with the constructionist approach.
Original languageEnglish
Title of host publicationProceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Pages2633–2642
Publication statusPublished - May 2016
Event10th Language Resources and Evaluation Conference: LREC 2016 - Portorož, Slovenia
Duration: 23 May 201628 May 2016

Conference

Conference10th Language Resources and Evaluation Conference
CountrySlovenia
CityPortorož
Period23/05/1628/05/16

Bibliographical note

Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License.

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    Busso, L., & Lenci, A. (2016). Italian VerbNet: A Construction based Approach to Italian Verb Classification. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16) (pp. 2633–2642)