English

Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres

Computation and Language 2019-09-04 v1

Abstract

Recent research on discourse relations has found that they are cued not only by discourse markers (DMs) but also by other textual signals and that signaling information is indicative of genres. While several corpora exist with discourse relation signaling information such as the Penn Discourse Treebank (PDTB, Prasad et al. 2008) and the Rhetorical Structure Theory Signalling Corpus (RST-SC, Das and Taboada 2018), they both annotate the Wall Street Journal (WSJ) section of the Penn Treebank (PTB, Marcus et al. 1993), which is limited to the news domain. Thus, this paper adapts the signal identification and anchoring scheme (Liu and Zeldes, 2019) to three more genres, examines the distribution of signaling devices across relations and genres, and provides a taxonomy of indicative signals found in this dataset.

Keywords

Cite

@article{arxiv.1909.00516,
  title  = {Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres},
  author = {Yang Liu},
  journal= {arXiv preprint arXiv:1909.00516},
  year   = {2019}
}

Comments

10 pages. In Proceedings of 7th Workshop on Discourse Relation Parsing and Treebanking (DISRPT) at NAACL-HLT 2019, Minneapolis, MN