Unifying Discourse Resources with Dependency Framework
Computation and Language
2021-05-26 v3
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.
Cite
@article{arxiv.2101.00167,
title = {Unifying Discourse Resources with Dependency Framework},
author = {Yi Cheng and Sujian Li and Yueyuan Li},
journal= {arXiv preprint arXiv:2101.00167},
year = {2021}
}