Toward Cross-theory Discourse Relation Annotation

Peter Bourgonje, Olha Zolotarenko


Abstract
In this exploratory study, we attempt to automatically induce PDTB-style relations from RST trees. We work with a German corpus of news commentary articles, annotated for RST trees and explicit PDTB-style relations and we focus on inducing the implicit relations in an automated way. Preliminary results look promising as a high-precision (but low-recall) way of finding implicit relations where there is no shallow structure annotated at all, but mapping proves more difficult in cases where EDUs and relation arguments overlap, yet do not seem to signal the same relation.
Anthology ID:
W19-2702
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:
7–11
Language:
URL:
https://aclanthology.org/W19-2702
DOI:
10.18653/v1/W19-2702
Bibkey:
Cite (ACL):
Peter Bourgonje and Olha Zolotarenko. 2019. Toward Cross-theory Discourse Relation Annotation. In Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019, pages 7–11, Minneapolis, MN. Association for Computational Linguistics.
Cite (Informal):
Toward Cross-theory Discourse Relation Annotation (Bourgonje & Zolotarenko, NAACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-2702.pdf