Enhancing Deep Entity Resolution with Integrated Blocker-Matcher Training: Balancing Consensus and Discrepancy.
Wenzhou Dou|Derong Shen|Xiangmin Zhou|Hui Bai|Yue Kou|Tiezheng Nie|Hang Cui|Ge Yu
| Anthology ID: | DBLP:conf/cikm/DouSZBKNC024 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 508-518 |
| URL: | https://doi.org/10.1145/3627673.3679843 |
| DOI: | https://doi.org/10.1145/3627673.3679843 |
| DBLP: | conf/cikm/DouSZBKNC024 |
| BibTeX: |
@inproceedings{dou-2024-enhancing,
author = {Wenzhou Dou and
Derong Shen and
Xiangmin Zhou and
Hui Bai and
Yue Kou and
Tiezheng Nie and
Hang Cui and
Ge Yu},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Enhancing Deep Entity Resolution with Integrated Blocker-Matcher Training: Balancing Consensus and Discrepancy}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {508--518},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679843},
doi = {https://doi.org/10.1145/3627673.3679843}
}