Cheng Yi

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2021

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Unifying Discourse Resources with Dependency Framework
Cheng Yi | Li Sujian | Li Yueyuan
Proceedings of the 20th Chinese National Conference on Computational Linguistics

For text-level discourse analysis there are various discourse schemes but relatively few labeleddata because discourse research is still immature and it is labor-intensive to annotate the innerlogic of a text. In this paper we attempt to unify multiple Chinese discourse corpora under different annotation schemes with discourse dependency framework by designing semi-automatic methods to convert them into dependency structures. We also implement several benchmark dependency parsers and research on how they can leverage the unified data to improve performance.1
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