Assessing Neural Referential Form Selectors on a Realistic Multilingual Dataset

Guanyi Chen, Fahime Same, Kees Van Deemter


Anthology ID:
2022.eval4nlp-1.11
Volume:
Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems
Month:
November
Year:
2022
Address:
Online
Editors:
Daniel Deutsch, Can Udomcharoenchaikit, Juri Opitz, Yang Gao, Marina Fomicheva, Steffen Eger
Venue:
Eval4NLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
103–114
Language:
URL:
https://aclanthology.org/2022.eval4nlp-1.11
DOI:
10.18653/v1/2022.eval4nlp-1.11
Bibkey:
Cite (ACL):
Guanyi Chen, Fahime Same, and Kees Van Deemter. 2022. Assessing Neural Referential Form Selectors on a Realistic Multilingual Dataset. In Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems, pages 103–114, Online. Association for Computational Linguistics.
Cite (Informal):
Assessing Neural Referential Form Selectors on a Realistic Multilingual Dataset (Chen et al., Eval4NLP 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.eval4nlp-1.11.pdf
Supplementary material:
 2022.eval4nlp-1.11.SupplementaryMaterial.zip