Ground Truth Inference for Weakly Supervised Entity Matching

Summary: Weak supervision for entity matching via labeling functions; simple labeling model outperforms prior methods. EM transitivity; exact solutions when possible, ML approximations otherwise; DeepMatcher trained on weak labels rivals fully supervised models. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h7be64ad19944fcf1
Venue: SIGMOD
Year: 2023
Pagerank: 5.1350726e-05
Overall Rank: 9,713 | 34.72%
DOI: 10.1145/3588712

Incoming Non-self Citations Over Time

Authors

1. Renzhi Wu (Georgia Institute of Technology)
2. Alexander Bendeck (Georgia Institute of Technology)
3. Xu Chu (Georgia Institute of Technology)
4. Yeye He (Microsoft)

BibTeX Citation

@inproceedings{wu_sigmod23,
        title = {{Ground Truth Inference for Weakly Supervised Entity Matching}},
        author = {Wu, Renzhi and Bendeck, Alexander and Chu, Xu and He, Yeye},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3588712},
        url = {https://dl.acm.org/doi/10.1145/3588712},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,209	Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution	2024	VLDB	5.0586032e-05

Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
134	Deep Entity Matching with Pre-Trained Language Models	2021	VLDB	0.00030042569
158	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00028038831
205	Snorkel: Rapid Training Data Creation with Weak Supervision	2018	VLDB	0.00025171314
244	Evaluation of entity resolution approaches on real-world match problems	2010	VLDB	0.00023307564
457	Distributed Representations of Tuples for Entity Resolution	2018	VLDB	0.00017899824
530	Magellan: Toward Building Entity Matching Management Systems	2016	VLDB	0.00016847532
534	On Active Learning of Record Matching Packages	2010	SIGMOD	0.00016799
579	Incremental Knowledge Base Construction Using DeepDive	2015	VLDB	0.00016083582
623	Entity Resolution: Theory, Practice & Open Challenges	2012	VLDB	0.00015477107
1,120	Snuba: Automating Weak Supervision to Label Training Data	2019	VLDB	0.000119406
2,275	Resolving Conflicts in Heterogeneous Data by Truth Discovery and Source Reliability Estimation	2014	SIGMOD	8.7080833e-05
2,325	ZeroER: Entity Resolution using Zero Labeled Examples	2020	SIGMOD	8.6308459e-05
3,063	Fonduer: Knowledge Base Construction from Richly Formatted Data	2018	SIGMOD	7.689108e-05
3,173	Truth Inference in Crowdsourcing: Is the Problem Solved?	2017	VLDB	7.5655739e-05
4,171	Data Integration and Machine Learning: A Natural Synergy	2018	SIGMOD	6.7576159e-05
4,544	GOGGLES: Automatic Image Labeling with Affinity Coding	2020	SIGMOD	6.5439123e-05
4,972	Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples	2021	SIGMOD	6.3300201e-05
6,167	Demonstration of Panda: A Weakly Supervised Entity Matching System	2021	VLDB	5.8607544e-05
7,426	Learning to be a Statistician: Learned Estimator for Number of Distinct Values	2022	VLDB	5.5295692e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	1,249	Entity Matching: How Similar Is Similar	2011	VLDB
2	8,253	Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation	2022	VLDB
3	9,791	The Battleship Approach to the Low Resource Entity Matching Problem	2023	SIGMOD
4	244	Evaluation of entity resolution approaches on real-world match problems	2010	VLDB
5	10,209	Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution	2024	VLDB
6	2,325	ZeroER: Entity Resolution using Zero Labeled Examples	2020	SIGMOD
7	2,514	Deep Learning for Blocking in Entity Matching: A Design Space Exploration	2021	VLDB
8	158	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD
9	2,475	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching	2020	SIGMOD
10	6,167	Demonstration of Panda: A Weakly Supervised Entity Matching System	2021	VLDB