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MCDTB: A Macro-Level Chinese Discourse TreeBank

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In view of the differences between the annotations of micro and macro discourse relationships, this paper describes the relevant experiments on the construction of the Macro Chinese Discourse Treebank (MCDTB), a higher-level Chinese discourse corpus。 Following RST (Rhetorical Structure Theory), we annotate the macro discourse information, including discourse structure, nuclearity and relationship, and the additional discourse information, including topic sentences, lead and abstract, to make the macro discourse annotation more objective and accurate。 Finally, we annotated 720 articles with a Kappa value greater than 0。6。 Preliminary experiments on this corpus verify the computability of MCDTB。

Feng Jiang、Sheng Xu、Xiaomin Chu、Peifeng Li、Qiaoming Zhu、Guodong Zhou

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School of Computer Science and Technology, Soochow University, China

School of Computer Science and Technology, Soochow University, China,Institute of Artificial Intelligence, Soochow University. China

International conference on computational linguistics

Santa Fe(US)

27th international conference on computational linguistics

3493-3504

2018