Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference
Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein
- Anthology ID:
- 2021.findings-acl.272
- Volume:
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Month:
- August
- Year:
- 2021
- Address:
- Online
- Editors:
- Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 3088–3098
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.272
- DOI:
- 10.18653/v1/2021.findings-acl.272
- Cite (ACL):
- Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, and Noam Koenigstein. 2021. Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 3088–3098, Online. Association for Computational Linguistics.
- Cite (Informal):
- Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference (Ginzburg et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/naacl-24-ws-corrections/2021.findings-acl.272.pdf
- Code
- microsoft/SDR