Zero-shot Chinese Discourse Dependency Parsing via Cross-lingual Mapping
November 27, 2019 ยท Declared Dead ยท ๐ Proceedings of the 1st Workshop on Discourse Structure in Neural NLG
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Authors
Yi Cheng, Sujian Li
arXiv ID
1911.12014
Category
cs.CL: Computation & Language
Citations
16
Venue
Proceedings of the 1st Workshop on Discourse Structure in Neural NLG
Last Checked
4 months ago
Abstract
Due to the absence of labeled data, discourse parsing still remains challenging in some languages. In this paper, we present a simple and efficient method to conduct zero-shot Chinese text-level dependency parsing by leveraging English discourse labeled data and parsing techniques. We first construct the Chinese-English mapping from the level of sentence and elementary discourse unit (EDU), and then exploit the parsing results of the corresponding English translations to obtain the discourse trees for the Chinese text. This method can automatically conduct Chinese discourse parsing, with no need of a large scale of Chinese labeled data.
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