- Anthology ID:
- 2021.findings-acl.26
- Volume:
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Month:
- August
- Year:
- 2021
- Address:
- Online
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 303–313
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.26
- DOI:
- 10.18653/v1/2021.findings-acl.26
- Cite (ACL):
- Benjamin Minixhofer, Milan Gritta, and Ignacio Iacobacci. 2021. Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 303–313, Online. Association for Computational Linguistics.
- Cite (Informal):
- Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning (Minixhofer et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/2021.findings-acl.26.pdf
- Code
- huawei-noah/noah-research
- Data
- ANLI, GLUE, MultiNLI, QNLI, SNLI, SuperGLUE