Unifying Discourse Resources with Dependency Framework

• URL: http://arxiv.org/abs/2101.00167v2
• Date: Tue, 19 Jan 2021 02:00:39 GMT
• Title: Unifying Discourse Resources with Dependency Framework
• Authors: Yi Cheng, Sujian Li, Yueyuan Li
• Abstract summary: We unify Chinese discourse corpora under different annotation schemes with discourse dependency framework. We implement several benchmark dependencys and research on how they can leverage the unified data to improve performance.
• Score: 18.498060350460463
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: For text-level discourse analysis, there are various discourse schemes but relatively few labeled data, because discourse research is still immature and it is labor-intensive to annotate the inner logic 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.

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