A Representation Learning Framework for Multi-Source Transfer Parsing

Abstract

Cross-lingual model transfer has been a promising approach for inducing dependency parsers for lowresource languages where annotated treebanks are not available. The major obstacles for the model transfer approach are two-fold: 1. Lexical features are not directly transferable across languages; 2. Target languagespecific syntactic structures are difficult… (More)

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Cite this paper

@inproceedings{Guo2016ARL, title={A Representation Learning Framework for Multi-Source Transfer Parsing}, author={Jiang Guo and Wanxiang Che and David Yarowsky and Haifeng Wang and Ting Liu}, booktitle={AAAI}, year={2016} }