The domain adaptation task was aimed at investigating techniques for adapting state-of-the-art dependency parsing systems to new domains. Both the language dealt with, i.e. Italian, and the target do- main, namely the legal domain, represent two main novelties of the task organised at Evalita 2011 with respect to previous domain adaptation ini- tiatives. In this paper, we define the task and describe how the datasets were created from different resources. In addition, we characterize the different approaches of the participating systems, report the test results, and provide a first analysis of these results.

Domain Adaptation for Dependency Parsing at EVALITA 2011

F Dell'Orletta;S Marchi;S Montemagni;G Venturi;T Agnoloni;E Francesconi
2013

Abstract

The domain adaptation task was aimed at investigating techniques for adapting state-of-the-art dependency parsing systems to new domains. Both the language dealt with, i.e. Italian, and the target do- main, namely the legal domain, represent two main novelties of the task organised at Evalita 2011 with respect to previous domain adaptation ini- tiatives. In this paper, we define the task and describe how the datasets were created from different resources. In addition, we characterize the different approaches of the participating systems, report the test results, and provide a first analysis of these results.
2013
Istituto di linguistica computazionale "Antonio Zampolli" - ILC
Istituto di Teoria e Tecniche dell'Informazione Giuridica - ITTIG - Sede Firenze
Istituto di Informatica Giuridica e Sistemi Giudiziari - IGSG
Inglese
Bernardo Magnini, Francesco Cutugno, Mauro Falcone, Emanuele Pianta
Evaluation of NLP and Speech Tools for Italian
58
69
978-3-642-35827-2
Springer
Berlin Heidelberg
GERMANIA
Sì, ma tipo non specificato
Dependency Parsing
Domain Adaptation
Self-training
Active Learning
Legal-NLP
6
02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio)
268
none
F. Dell'Orletta;S. Marchi;S. Montemagni;G. Venturi;T. Agnoloni;E. Francesconi
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/220446
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