A PDTB-Styled End-to-End Discourse Parser
Computation and Language
2016-08-30 v1
Abstract
We have developed a full discourse parser in the Penn Discourse Treebank (PDTB) style. Our trained parser first identifies all discourse and non-discourse relations, locates and labels their arguments, and then classifies their relation types. When appropriate, the attribution spans to these relations are also determined. We present a comprehensive evaluation from both component-wise and error-cascading perspectives.
Keywords
Cite
@article{arxiv.1011.0835,
title = {A PDTB-Styled End-to-End Discourse Parser},
author = {Ziheng Lin and Hwee Tou Ng and Min-Yen Kan},
journal= {arXiv preprint arXiv:1011.0835},
year = {2016}
}
Comments
15 pages, 5 figures, 7 tables