The DISRPT 2019 Shared Task on Elementary Discourse Unit Segmentation and Connective Detection

Amir Zeldes, Debopam Das, Erick Galani Maziero, Juliano Antonio, Mikel Iruskieta

Abstract
In 2019, we organized the first iteration of a shared task dedicated to the underlying units used in discourse parsing across formalisms: the DISRPT Shared Task on Elementary Discourse Unit Segmentation and Connective Detection. In this paper we review the data included in the task, which cover 2.6 million manually annotated tokens from 15 datasets in 10 languages, survey and compare submitted systems and report on system performance on each task for both annotated and plain-tokenized versions of the data.
Anthology ID:
W19-2713
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:
97–104
Language:
URL:
https://aclanthology.org/W19-2713
DOI:
10.18653/v1/W19-2713
Bibkey:
Cite (ACL):
Amir Zeldes, Debopam Das, Erick Galani Maziero, Juliano Antonio, and Mikel Iruskieta. 2019. The DISRPT 2019 Shared Task on Elementary Discourse Unit Segmentation and Connective Detection. In Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019, pages 97–104, Minneapolis, MN. Association for Computational Linguistics.
Cite (Informal):
The DISRPT 2019 Shared Task on Elementary Discourse Unit Segmentation and Connective Detection (Zeldes et al., NAACL 2019)
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PDF:
https://preview.aclanthology.org/ingest-2024-clasp/W19-2713.pdf
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