@inproceedings{jiang-etal-2018-mcdtb,
title = "{MCDTB}: A Macro-level {C}hinese Discourse {T}ree{B}ank",
author = "Jiang, Feng and
Xu, Sheng and
Chu, Xiaomin and
Li, Peifeng and
Zhu, Qiaoming and
Zhou, Guodong",
editor = "Bender, Emily M. and
Derczynski, Leon and
Isabelle, Pierre",
booktitle = "Proceedings of the 27th International Conference on Computational Linguistics",
month = aug,
year = "2018",
address = "Santa Fe, New Mexico, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/C18-1296",
pages = "3493--3504",
abstract = "In view of the differences between the annotations of micro and macro discourse rela-tionships, this paper describes the relevant experiments on the construction of the Macro Chinese Discourse Treebank (MCDTB), a higher-level Chinese discourse corpus. Fol-lowing 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.",
}
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<abstract>In view of the differences between the annotations of micro and macro discourse rela-tionships, this paper describes the relevant experiments on the construction of the Macro Chinese Discourse Treebank (MCDTB), a higher-level Chinese discourse corpus. Fol-lowing 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.</abstract>
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%0 Conference Proceedings
%T MCDTB: A Macro-level Chinese Discourse TreeBank
%A Jiang, Feng
%A Xu, Sheng
%A Chu, Xiaomin
%A Li, Peifeng
%A Zhu, Qiaoming
%A Zhou, Guodong
%Y Bender, Emily M.
%Y Derczynski, Leon
%Y Isabelle, Pierre
%S Proceedings of the 27th International Conference on Computational Linguistics
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico, USA
%F jiang-etal-2018-mcdtb
%X In view of the differences between the annotations of micro and macro discourse rela-tionships, this paper describes the relevant experiments on the construction of the Macro Chinese Discourse Treebank (MCDTB), a higher-level Chinese discourse corpus. Fol-lowing 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.
%U https://aclanthology.org/C18-1296
%P 3493-3504
Markdown (Informal)
[MCDTB: A Macro-level Chinese Discourse TreeBank](https://aclanthology.org/C18-1296) (Jiang et al., COLING 2018)
ACL
- Feng Jiang, Sheng Xu, Xiaomin Chu, Peifeng Li, Qiaoming Zhu, and Guodong Zhou. 2018. MCDTB: A Macro-level Chinese Discourse TreeBank. In Proceedings of the 27th International Conference on Computational Linguistics, pages 3493–3504, Santa Fe, New Mexico, USA. Association for Computational Linguistics.