Contributo in volume, 2013, ENG
F. Dell'Orletta and S. Marchi and S. Montemagni and G. Venturi and T. Agnoloni and E. Francesconi
ILC-CNR, ITTIG-CNR
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.
Dependency Parsing, Domain Adaptation, Self-training, Active Learning, Legal-NLP
Venturi Giulia, Montemagni Simonetta, Marchi Simone, Francesconi Enrico, Agnoloni Tommaso, Dell Orletta Felice
ILC – Istituto di linguistica computazionale "Antonio Zampolli", ITTIG – Istituto di teoria e tecniche dell'informazione giuridica, IGSG – Istituto di Informatica Giuridica e Sistemi Giudiziari
ID: 266373
Year: 2013
Type: Contributo in volume
Creation: 2013-10-26 00:41:07.000
Last update: 2023-11-06 19:33:30.000
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:266373