BEACON: Budget-Aware Entity Matching Across Domains
Summary: BEACON tackles low-resource cross-domain entity matching when target labels are scarce but other domains are labeled. Its distribution- and budget-aware selection of out-of-domain pairs via embedding representations improves EM across varying labeling budgets. (summarized by gpt-5.6-luna on Jul 26 2026)
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Authors
- 1. Nicholas Pulsone (Worcester Polytechnic Institute)
- 2. Roee Shraga (Worcester Polytechnic Institute)
- 3. Gregory Goren (eBay)
BibTeX Citation
@inproceedings{pulsone_sigmod26,
title = {{BEACON: Budget-Aware Entity Matching Across Domains}},
author = {Pulsone, Nicholas and Shraga, Roee and Goren, Gregory},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802021},
url = {https://dl.acm.org/doi/10.1145/3802021},
year = {2026}
}
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