- Anthology ID:
- 2021.scil-1.37
- Volume:
- Proceedings of the Society for Computation in Linguistics 2021
- Month:
- February
- Year:
- 2021
- Address:
- Online
- Editors:
- Allyson Ettinger, Ellie Pavlick, Brandon Prickett
- Venue:
- SCiL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 366–373
- Language:
- URL:
- https://aclanthology.org/2021.scil-1.37
- DOI:
- Cite (ACL):
- Hritik Bansal, Gantavya Bhatt, and Sumeet Agarwal. 2021. Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?. In Proceedings of the Society for Computation in Linguistics 2021, pages 366–373, Online. Association for Computational Linguistics.
- Cite (Informal):
- Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones? (Bansal et al., SCiL 2021)
- PDF:
- https://preview.aclanthology.org/corrections-2024-07/2021.scil-1.37.pdf
- Code
- Hritikbansal/RNNs_SVA_OOD