- Anthology ID:
- 2021.findings-acl.289
- 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:
- 3273–3283
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.289
- DOI:
- 10.18653/v1/2021.findings-acl.289
- Cite (ACL):
- Syrine Krichene, Thomas Müller, and Julian Eisenschlos. 2021. DoT: An efficient Double Transformer for NLP tasks with tables. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 3273–3283, Online. Association for Computational Linguistics.
- Cite (Informal):
- DoT: An efficient Double Transformer for NLP tasks with tables (Krichene et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2021.findings-acl.289.pdf
- Code
- google-research/tapas
- Data
- TabFact, WikiSQL