@inproceedings{lenci-etal-2012-lexit,
title = "{L}ex{I}t: A Computational Resource on {I}talian Argument Structure",
author = "Lenci, Alessandro and
Lapesa, Gabriella and
Bonansinga, Giulia",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/622_Paper.pdf",
pages = "3712--3718",
abstract = "The aim of this paper is to introduce LexIt, a computational framework for the automatic acquisition and exploration of distributional information about Italian verbs, nouns and adjectives, freely available through a web interface at the address \url{http://sesia.humnet.unipi.it/lexit}. LexIt is the first large-scale resource for Italian in which subcategorization and semantic selection properties are characterized fully on distributional ground: in the paper we describe both the process of data extraction and the evaluation of the subcategorization frames extracted with LexIt.",
}
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%0 Conference Proceedings
%T LexIt: A Computational Resource on Italian Argument Structure
%A Lenci, Alessandro
%A Lapesa, Gabriella
%A Bonansinga, Giulia
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F lenci-etal-2012-lexit
%X The aim of this paper is to introduce LexIt, a computational framework for the automatic acquisition and exploration of distributional information about Italian verbs, nouns and adjectives, freely available through a web interface at the address http://sesia.humnet.unipi.it/lexit. LexIt is the first large-scale resource for Italian in which subcategorization and semantic selection properties are characterized fully on distributional ground: in the paper we describe both the process of data extraction and the evaluation of the subcategorization frames extracted with LexIt.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/622_Paper.pdf
%P 3712-3718
Markdown (Informal)
[LexIt: A Computational Resource on Italian Argument Structure](http://www.lrec-conf.org/proceedings/lrec2012/pdf/622_Paper.pdf) (Lenci et al., LREC 2012)
ACL
- Alessandro Lenci, Gabriella Lapesa, and Giulia Bonansinga. 2012. LexIt: A Computational Resource on Italian Argument Structure. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 3712–3718, Istanbul, Turkey. European Language Resources Association (ELRA).