Summary of the paper
| Title | Bootstrapping an Italian VerbNet: data-driven analysis of verb alternations |
|---|---|
| Authors | Gianluca Lebani, Veronica Viola and Alessandro Lenci |
| Abstract | The goal of this paper is to propose a classification of the syntactic alternations admitted by the most frequent Italian verbs. The data-driven two-steps procedure exploited and the structure of the identified classes of alternations are presented in depth and discussed. Even if this classification has been developed with a practical application in mind, namely the semi-automatic building of a VerbNet-like lexicon for Italian verbs, partly following the methodology proposed in the context of the VerbNet project, its availability may have a positive impact on several related research topics and Natural Language Processing tasks |
| Topics | Grammar and Syntax, Lexicon, Lexical Database |
Full paper  |
Bootstrapping an Italian VerbNet: data-driven analysis of verb alternations |
| Bibtex | @InProceedings{LEBANI14.541, author = {Gianluca Lebani and Veronica Viola and Alessandro Lenci}, title = {Bootstrapping an Italian VerbNet: data-driven analysis of verb alternations}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |