- 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
- 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)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2022.eval4nlp-1.11.pdf