KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals

Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew Mccallum, Deepak Ramachandran, Mehran Kazemi


Anthology ID:
2023.sustainlp-1.1
Volume:
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)
Month:
July
Year:
2023
Address:
Toronto, Canada (Hybrid)
Editors:
Nafise Sadat Moosavi, Iryna Gurevych, Yufang Hou, Gyuwan Kim, Young Jin Kim, Tal Schuster, Ameeta Agrawal
Venue:
sustainlp
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–31
Language:
URL:
https://aclanthology.org/2023.sustainlp-1.1
DOI:
10.18653/v1/2023.sustainlp-1.1
Bibkey:
Cite (ACL):
Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew Mccallum, Deepak Ramachandran, and Mehran Kazemi. 2023. KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals. In Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP), pages 1–31, Toronto, Canada (Hybrid). Association for Computational Linguistics.
Cite (Informal):
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals (Silwal et al., sustainlp 2023)
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PDF:
https://aclanthology.org/2023.sustainlp-1.1.pdf
Video:
 https://aclanthology.org/2023.sustainlp-1.1.mp4