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Domain Adaptation for Dependency Parsing at EVALITA 2011

Chapter
Publication Date:
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.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Dependency Parsing; Domain Adaptation; Self-training; Active Learning; Legal-NLP
List of contributors:
Venturi, Giulia; Montemagni, Simonetta; Marchi, Simone; Francesconi, Enrico; Agnoloni, Tommaso; Dell'Orletta, Felice
Authors of the University:
AGNOLONI TOMMASO
DELL'ORLETTA FELICE
FRANCESCONI ENRICO
MARCHI SIMONE
MONTEMAGNI SIMONETTA
VENTURI GIULIA
Handle:
https://iris.cnr.it/handle/20.500.14243/220446
Book title:
Evaluation of NLP and Speech Tools for Italian
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