- Anthology ID:
- 2021.findings-acl.305
- 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:
- 3467–3481
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.305
- DOI:
- 10.18653/v1/2021.findings-acl.305
- Cite (ACL):
- Zeeshan Ali Sayyed and Daniel Dakota. 2021. Annotations Matter: Leveraging Multi-task Learning to Parse UD and SUD. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 3467–3481, Online. Association for Computational Linguistics.
- Cite (Informal):
- Annotations Matter: Leveraging Multi-task Learning to Parse UD and SUD (Sayyed & Dakota, Findings 2021)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2021.findings-acl.305.pdf
- Data
- Universal Dependencies