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
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-bitext-workshop/2023.sustainlp-1.1.pdf