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Domain Adaptation for Dependency Parsing at Evalita 2011

  • Felice Dell’Orletta
  • Simone Marchi
  • Simonetta Montemagni
  • Giulia Venturi
  • Tommaso Agnoloni
  • Enrico Francesconi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7689)

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 domain, namely the legal domain, represent two main novelties of the task organised at Evalita 2011 with respect to previous domain adaptation initiatives. 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.

Keywords

Dependency Parsing Domain Adaptation Self-training Active Learning Legal-NLP 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Felice Dell’Orletta
    • 1
  • Simone Marchi
    • 1
  • Simonetta Montemagni
    • 1
  • Giulia Venturi
    • 2
  • Tommaso Agnoloni
    • 3
  • Enrico Francesconi
    • 3
  1. 1.Istituto di Linguistica Computazionale ”Antonio Zampolli”CNRPisaItaly
  2. 2.Scuola Superiore Sant’Anna di Studi Universitari e di PerfezionamentoPisaItaly
  3. 3.Istituto di Teoria e Tecniche dell’Informazione GiuridicaCNRFirenzeItaly

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