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            <title>Proceedings of the Second International Workshop of Discourse Processing</title>
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    <abstract>Discourse parsing aims to comprehensively acquire the logical structure of the whole text which may be helpful to some downstream applications such as summarization, reading comprehension, QA and so on. One important issue behind discourse parsing is the representation of discourse structure. Up to now, many discourse structures have been proposed, and the correponding parsing methods are designed, promoting the development of discourse research. In this paper, we mainly introduce our recent discourse research and its preliminary application from the dependency view.</abstract>
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%0 Conference Proceedings
%T Research on Discourse Parsing: from the Dependency View
%A Li, Sujian
%Y Liu, Qun
%Y Xiong, Deyi
%Y Ge, Shili
%Y Zhang, Xiaojun
%S Proceedings of the Second International Workshop of Discourse Processing
%D 2020
%8 December
%I Association for Computational Linguistics
%C Suzhou, China
%F li-2020-research
%X Discourse parsing aims to comprehensively acquire the logical structure of the whole text which may be helpful to some downstream applications such as summarization, reading comprehension, QA and so on. One important issue behind discourse parsing is the representation of discourse structure. Up to now, many discourse structures have been proposed, and the correponding parsing methods are designed, promoting the development of discourse research. In this paper, we mainly introduce our recent discourse research and its preliminary application from the dependency view.
%U https://aclanthology.org/2020.iwdp-1.1
%P 1-3

Markdown (Informal)

[Research on Discourse Parsing: from the Dependency View](https://aclanthology.org/2020.iwdp-1.1) (Li, iwdp 2020)

• Research on Discourse Parsing: from the Dependency View (Li, iwdp 2020)

ACL

• Sujian Li. 2020. Research on Discourse Parsing: from the Dependency View. In Proceedings of the Second International Workshop of Discourse Processing, pages 1–3, Suzhou, China. Association for Computational Linguistics.