Subject-verb agreement with Seq2Seq transformers: Bigger is better, but still not best

Michael Wilson, Zhenghao Zhou, Robert Frank


Anthology ID:
2023.scil-1.24
Volume:
Proceedings of the Society for Computation in Linguistics 2023
Month:
june
Year:
2023
Address:
Amherst, MA
Editors:
Tim Hunter, Brandon Prickett
Venue:
SCiL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
278–288
Language:
URL:
https://aclanthology.org/2023.scil-1.24
DOI:
Bibkey:
Cite (ACL):
Michael Wilson, Zhenghao Zhou, and Robert Frank. 2023. Subject-verb agreement with Seq2Seq transformers: Bigger is better, but still not best. In Proceedings of the Society for Computation in Linguistics 2023, pages 278–288, Amherst, MA. Association for Computational Linguistics.
Cite (Informal):
Subject-verb agreement with Seq2Seq transformers: Bigger is better, but still not best (Wilson et al., SCiL 2023)
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PDF:
https://preview.aclanthology.org/emnlp-22-attachments/2023.scil-1.24.pdf