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2021 | OriginalPaper | Buchkapitel

CTRD: A Chinese Theme-Rheme Discourse Dataset

verfasst von : Biao Fu, Yiqi Tong, Dawei Tian, Yidong Chen, Xiaodong Shi, Ming Zhu

Erschienen in: Natural Language Processing and Chinese Computing

Verlag: Springer International Publishing

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Abstract

Discourse topic structure is the key to the cohesion of the discourse and reflects the essence of the text. Current Chinese discourse corpus are constructed mainly based on rhetoric and semantic relations, which ignore the functional information in discourse. To alleviate this problem, we introduce a new Chinese discourse analysis dataset called CTRD, which stands for Chinese Theme-Rheme Discourse dataset. Different from previous discourse banks, CTRD was annotated according to a novel discourse annotation scheme based on the Chinese theme-rheme theory and thematic progression patterns from Halliday’s systemic functional grammar. As a result, we manually annotated 525 news documents from OntoNotes 4.0 with a Kappa value greater than 0.6. And preliminary experiments on this corpus verify the computability of CTRD. Finally, we make CTRD available at https://github.com/ydc/ctrd.

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Vorheriges Kapitel ProPC: A Dataset for In-Domain and Cross-Domain Proposition Classification Tasks

Nächstes Kapitel Learning to Select Relevant Knowledge for Neural Machine Translation

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Titel: CTRD: A Chinese Theme-Rheme Discourse Dataset
verfasst von: Biao Fu
Yiqi Tong
Dawei Tian
Yidong Chen
Xiaodong Shi
Ming Zhu
Verlag: Springer International Publishing
Buch: Natural Language Processing and Chinese Computing
Print ISBN: 978-3-030-88479-6

Electronic ISBN: 978-3-030-88480-2

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-88480-2_6

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