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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
13700
Venue
VLDB
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,255 | 22.79%
DOI
10.14778/3632093.3632096

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Authors

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}
}

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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
93 Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph 2019 VLDB 0.00034701237
141 Deep Entity Matching with Pre-Trained Language Models 2021 VLDB 0.0002964847
176 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00027191081
420 Can Foundation Models Wrangle Your Data? 2023 VLDB 0.00018789852
489 Distributed Representations of Tuples for Entity Resolution 2018 VLDB 0.0001761456
1,402 Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks 2020 SIGMOD 0.00010888094
1,934 Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces 2023 VLDB 9.4561907e-05
2,120 Comparative Analysis of Approximate Blocking Techniques for Entity Resolution 2016 VLDB 9.1406654e-05
2,475 Deep Learning for Blocking in Entity Matching: A Design Space Exploration 2021 VLDB 8.5277654e-05
3,883 Magellan: Toward Building Entity Matching Management Systems over Data Science Stacks 2016 VLDB 7.0487615e-05
4,447 Dual-Objective Fine-Tuning of BERT for Entity Matching 2021 VLDB 6.6984471e-05
4,590 Entity Resolution with Hierarchical Graph Attention Networks 2022 SIGMOD 6.6150054e-05
4,966 Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond 2021 SIGMOD 6.4225454e-05
5,730 Domain Adaptation for Deep Entity Resolution 2022 SIGMOD 6.1071585e-05
9,560 Ground Truth Inference for Weakly Supervised Entity Matching 2023 SIGMOD 5.2528121e-05
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