@inproceedings{lebani-etal-2014-bootstrapping,
title = "Bootstrapping an {I}talian {V}erb{N}et: data-driven analysis of verb alternations",
author = "Lebani, Gianluca and
Viola, Veronica and
Lenci, Alessandro",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/541_Paper.pdf",
pages = "1127--1134",
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",
}
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%0 Conference Proceedings
%T Bootstrapping an Italian VerbNet: data-driven analysis of verb alternations
%A Lebani, Gianluca
%A Viola, Veronica
%A Lenci, Alessandro
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F lebani-etal-2014-bootstrapping
%X 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
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/541_Paper.pdf
%P 1127-1134
Markdown (Informal)
[Bootstrapping an Italian VerbNet: data-driven analysis of verb alternations](http://www.lrec-conf.org/proceedings/lrec2014/pdf/541_Paper.pdf) (Lebani et al., LREC 2014)
ACL