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Experiments in Newswire-to-Law Adaptation of Graph-Based Dependency Parsers

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7689)

Abstract

We evaluate two very different methods for domain adaptation of graph-based dependency parsers on the EVALITA 2011 Domain Adaptation data, namely instance-weighting [1] and self-training [2,3]. Since the source and target domains (newswire and law, respectively) were very similar, instance-weighting was unlikely to be efficient, but some of the semi-supervised approaches led to significant improvements on development data. Unfortunately, this improvement did not carry over to the released test data.

Keywords

dependency parsing domain adaptation legal texts 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.University of TrentoItaly
  2. 2.University of CopenhagenDenmark

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