A Mixed-Method Design Approach for Empirically Based Selection of Unbiased Data Annotators
Gautam Thakur, Janna Caspersen, Drahomira Herrmannova, Bryan Eaton, Jordan Burdette
- Anthology ID:
- 2021.findings-acl.169
- 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:
- 1930–1938
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.169
- DOI:
- 10.18653/v1/2021.findings-acl.169
- Cite (ACL):
- Gautam Thakur, Janna Caspersen, Drahomira Herrmannova, Bryan Eaton, and Jordan Burdette. 2021. A Mixed-Method Design Approach for Empirically Based Selection of Unbiased Data Annotators. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 1930–1938, Online. Association for Computational Linguistics.
- Cite (Informal):
- A Mixed-Method Design Approach for Empirically Based Selection of Unbiased Data Annotators (Thakur et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2021.findings-acl.169.pdf