A Discourse Signal Annotation System for RST Trees

Luke Gessler, Yang Liu, Amir Zeldes


Abstract
This paper presents a new system for open-ended discourse relation signal annotation in the framework of Rhetorical Structure Theory (RST), implemented on top of an online tool for RST annotation. We discuss existing projects annotating textual signals of discourse relations, which have so far not allowed simultaneously structuring and annotating words signaling hierarchical discourse trees, and demonstrate the design and applications of our interface by extending existing RST annotations in the freely available GUM corpus.
Anthology ID:
W19-2708
Volume:
Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019
Month:
June
Year:
2019
Address:
Minneapolis, MN
Editors:
Amir Zeldes, Debopam Das, Erick Maziero Galani, Juliano Desiderato Antonio, Mikel Iruskieta
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
56–61
Language:
URL:
https://aclanthology.org/W19-2708
DOI:
10.18653/v1/W19-2708
Bibkey:
Cite (ACL):
Luke Gessler, Yang Liu, and Amir Zeldes. 2019. A Discourse Signal Annotation System for RST Trees. In Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019, pages 56–61, Minneapolis, MN. Association for Computational Linguistics.
Cite (Informal):
A Discourse Signal Annotation System for RST Trees (Gessler et al., NAACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-2708.pdf
Code
 amir-zeldes/rstweb