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
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.
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