COMBO: A New Module for EUD Parsing

Mateusz Klimaszewski, Alina Wróblewska


Abstract
We introduce the COMBO-based approach for EUD parsing and its implementation, which took part in the IWPT 2021 EUD shared task. The goal of this task is to parse raw texts in 17 languages into Enhanced Universal Dependencies (EUD). The proposed approach uses COMBO to predict UD trees and EUD graphs. These structures are then merged into the final EUD graphs. Some EUD edge labels are extended with case information using a single language-independent expansion rule. In the official evaluation, the solution ranked fourth, achieving an average ELAS of 83.79%. The source code is available at https://gitlab.clarin-pl.eu/syntactic-tools/combo.
Anthology ID:
2021.iwpt-1.16
Volume:
Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
Month:
August
Year:
2021
Address:
Online
Editors:
Stephan Oepen, Kenji Sagae, Reut Tsarfaty, Gosse Bouma, Djamé Seddah, Daniel Zeman
Venue:
IWPT
SIG:
SIGPARSE
Publisher:
Association for Computational Linguistics
Note:
Pages:
158–166
Language:
URL:
https://aclanthology.org/2021.iwpt-1.16
DOI:
10.18653/v1/2021.iwpt-1.16
Bibkey:
Cite (ACL):
Mateusz Klimaszewski and Alina Wróblewska. 2021. COMBO: A New Module for EUD Parsing. In Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021), pages 158–166, Online. Association for Computational Linguistics.
Cite (Informal):
COMBO: A New Module for EUD Parsing (Klimaszewski & Wróblewska, IWPT 2021)
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PDF:
https://aclanthology.org/2021.iwpt-1.16.pdf
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