Shallow Discourse Annotation for Chinese TED Talks

Wanqiu Long, Xinyi Cai, James Reid, Bonnie Webber, Deyi Xiong


Abstract
Text corpora annotated with language-related properties are an important resource for the development of Language Technology. The current work contributes a new resource for Chinese Language Technology and for Chinese-English translation, in the form of a set of TED talks (some originally given in English, some in Chinese) that have been annotated with discourse relations in the style of the Penn Discourse TreeBank, adapted to properties of Chinese text that are not present in English. The resource is currently unique in annotating discourse-level properties of planned spoken monologues rather than of written text. An inter-annotator agreement study demonstrates that the annotation scheme is able to achieve highly reliable results.
Anthology ID:
2020.lrec-1.129
Volume:
Proceedings of the 12th Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
1025–1032
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.129
DOI:
Bibkey:
Cite (ACL):
Wanqiu Long, Xinyi Cai, James Reid, Bonnie Webber, and Deyi Xiong. 2020. Shallow Discourse Annotation for Chinese TED Talks. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 1025–1032, Marseille, France. European Language Resources Association.
Cite (Informal):
Shallow Discourse Annotation for Chinese TED Talks (Long et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.129.pdf
Code
 tjunlp-lab/Shallow-Discourse-Annotation-for-Chinese-TED-Talks