  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.
