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
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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.272.pdf
Video:
 https://aclanthology.org/2021.findings-acl.272.mp4
Code
 microsoft/SDR