ACL Short Papers 2013 - Dependency Parser Adaptation with Subtrees from Auto-Parsed Target Domain data

Dependency Parser Adaptation with Subtrees from Auto-Parsed Target Domain data

Xuezhe Ma and Fei Xia

The 51st Annual Meeting of the Association for Computational Linguistics - Short Papers (ACL Short Papers 2013)
Sofia, Bulgaria, August 4-9, 2013

Abstract

In this paper, we propose a simple and effective approach for domain adaptation of dependency parsing. This is a feature augmentation approach in which the new features are constructed based on subtree information extracted from the auto-parsed target domain data. To demonstrate the effectiveness of the proposed approach, we evaluate our approach on three pairs of source-target data, compared with several common baseline systems and previous effective approaches. Our approach achieves significant improvement on all the three pairs of data sets.

START Conference Manager (V2.61.0 - Rev. 2792M)