Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution

Summary: An end-to-end co-learning framework jointly trains ER blockers and matchers in low-resource settings, iteratively exchanging pseudo-labels to expand supervision. Noise-aware label generation, selection, and training yield mutual gains and 9.13–51.55% improvements over baselines. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: h472a82e7bc3ee890
Venue: VLDB
Year: 2024
Pagerank: 5.0596605e-05
Overall Rank: 10,210 | 31.36%
DOI: 10.14778/3632093.3632096

Incoming Non-self Citations Over Time

Authors

1. Shiwen Wu (Hong Kong University of Science and Technology)
2. Qiyu Wu (University of Tokyo)
3. Honghua Dong (University of Toronto; Vector Institute)
4. Wen Hua (Hong Kong Polytechnic University)
5. Xiaofang Zhou (Hong Kong University of Science and Technology)

BibTeX Citation

@article{wu_vldb24,
        title = {{Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution}},
        author = {Wu, Shiwen and Wu, Qiyu and Dong, Honghua and Hua, Wen and Zhou, Xiaofang},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {3},
        pages = {292--304},
        doi = {10.14778/3632093.3632096},
        url = {https://doi.org/10.14778/3632093.3632096},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,845	Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees	2026	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
74	Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph	2019	VLDB	0.00037091678
134	Deep Entity Matching with Pre-Trained Language Models	2021	VLDB	0.00030043481
158	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00028046388
329	Can Foundation Models Wrangle Your Data?	2023	VLDB	0.00020858443
457	Distributed Representations of Tuples for Entity Resolution	2018	VLDB	0.00017907103
1,391	Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks	2020	SIGMOD	0.00010816237
1,625	Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces	2023	VLDB	0.0001004502
2,110	Comparative Analysis of Approximate Blocking Techniques for Entity Resolution	2016	VLDB	9.0233278e-05
2,514	Deep Learning for Blocking in Entity Matching: A Design Space Exploration	2021	VLDB	8.3648432e-05
3,843	Magellan: Toward Building Entity Matching Management Systems over Data Science Stacks	2016	VLDB	6.987246e-05
4,033	Dual-Objective Fine-Tuning of BERT for Entity Matching	2021	VLDB	6.8394738e-05
4,676	Entity Resolution with Hierarchical Graph Attention Networks	2022	SIGMOD	6.4745561e-05
5,076	Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond	2021	SIGMOD	6.2860582e-05
5,814	Domain Adaptation for Deep Entity Resolution	2022	SIGMOD	5.9852808e-05
9,708	Ground Truth Inference for Weakly Supervised Entity Matching	2023	SIGMOD	5.1374628e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	2,323	ZeroER: Entity Resolution using Zero Labeled Examples	2020	SIGMOD
2	9,785	The Battleship Approach to the Low Resource Entity Matching Problem	2023	SIGMOD
3	11,880	Generalized Supervised Meta-blocking	2022	VLDB
4	2,110	Comparative Analysis of Approximate Blocking Techniques for Entity Resolution	2016	VLDB
5	244	Evaluation of entity resolution approaches on real-world match problems	2010	VLDB
6	2,475	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching	2020	SIGMOD
7	5,946	Exploiting Context Analysis for Combining Multiple Entity Resolution Systems	2009	SIGMOD
8	5,814	Domain Adaptation for Deep Entity Resolution	2022	SIGMOD
9	5,064	Supervised Meta-blocking	2014	VLDB
10	2,514	Deep Learning for Blocking in Entity Matching: A Design Space Exploration	2021	VLDB