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From raw text to enhanced universal dependencies: The parsing shared task at IWPT 2021

Authors :
Bouma, Gosse
Seddah, Djame
Zeman, Dan
Oepen, Stephan
Sagae, Kenji
Tsarfaty, Reut
Seddah, Djam\'e
Zeman, Daniel
Computational Linguistics (CL)
Source :
Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021), 146-157, STARTPAGE=146;ENDPAGE=157;TITLE=Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
Publication Year :
2021
Publisher :
Association for Computational Linguistics (ACL), 2021.

Abstract

We describe the second IWPT task on end-to-end parsing from raw text to Enhanced Universal Dependencies. We provide details about the evaluation metrics and the datasets used for training and evaluation. We compare the approaches taken by participating teams and discuss the results of the shared task, also in comparison with the first edition of this task.

Details

Language :
English
Database :
OpenAIRE
Journal :
Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021), 146-157, STARTPAGE=146;ENDPAGE=157;TITLE=Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)
Accession number :
edsair.doi.dedup.....401622f0459992f0d893817ef2e5d99b