Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies

Gosse Bouma, Djamé Seddah, Daniel Zeman


Abstract
This overview introduces the task of parsing into enhanced universal dependencies, describes the datasets used for training and evaluation, and evaluation metrics. We outline various approaches and discuss the results of the shared task.
Anthology ID:
2020.iwpt-1.16
Volume:
Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies
Month:
July
Year:
2020
Address:
Online
Editors:
Gosse Bouma, Yuji Matsumoto, Stephan Oepen, Kenji Sagae, Djamé Seddah, Weiwei Sun, Anders Søgaard, Reut Tsarfaty, Dan Zeman
Venue:
IWPT
SIG:
SIGPARSE
Publisher:
Association for Computational Linguistics
Note:
Pages:
151–161
Language:
URL:
https://aclanthology.org/2020.iwpt-1.16
DOI:
10.18653/v1/2020.iwpt-1.16
Bibkey:
Cite (ACL):
Gosse Bouma, Djamé Seddah, and Daniel Zeman. 2020. Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies. In Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, pages 151–161, Online. Association for Computational Linguistics.
Cite (Informal):
Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies (Bouma et al., IWPT 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.iwpt-1.16.pdf
Video:
 http://slideslive.com/38929683