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The Battleship Approach to the Low Resource Entity Matching Problem

Summary: Battleship-inspired active learning for low-resource entity matching; uses space-aware, distributed tuple-pair representations to gauge informativeness. Outperforms top active-learning baselines with fewer labels, approaching fully trained models. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h571bcc1fab6f8e61
Venue
SIGMOD
Year
2023
Pagerank
5.1089508e-05
Overall Rank
9,823 | 34.16%
DOI
10.1145/3626711

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{genossar_sigmod23,
        title = {{The Battleship Approach to the Low Resource Entity Matching Problem}},
        author = {Genossar, Bar and Gal, Avigdor and Shraga, Roee},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3626711},
        url = {https://dl.acm.org/doi/10.1145/3626711},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
10,217 Progressive Entity Matching: A Design Space Exploration 2025 SIGMOD 5.0461625e-05
10,497 BEACON: Budget-Aware Entity Matching Across Domains 2026 SIGMOD 4.9605343e-05
10,614 3dSAGER: Geospatial Entity Resolution over 3D Objects 2026 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

Rank Cited Paper Year Venue Pagerank
20 Similarity Search in High Dimensions via Hashing 1999 VLDB 0.00057610161
132 Deep Entity Matching with Pre-Trained Language Models 2021 VLDB 0.00030213215
158 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00028049555
459 Distributed Representations of Tuples for Entity Resolution 2018 VLDB 0.00017863654
517 Magellan: Toward Building Entity Matching Management Systems 2016 VLDB 0.00016946929
1,489 Synthesizing Entity Matching Rules by Examples 2018 VLDB 0.00010480559
1,731 Raha: A Configuration-Free Error Detection System 2019 SIGMOD 9.7585913e-05
2,120 Comparative Analysis of Approximate Blocking Techniques for Entity Resolution 2016 VLDB 8.9985078e-05
2,271 ZeroER: Entity Resolution using Zero Labeled Examples 2020 SIGMOD 8.7110698e-05
2,476 A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching 2020 SIGMOD 8.3932405e-05
2,647 Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning 2015 VLDB 8.1565673e-05
3,846 Learning Expressive Linkage Rules using Genetic Programming 2012 VLDB 6.9674404e-05
4,054 Dual-Objective Fine-Tuning of BERT for Entity Matching 2021 VLDB 6.8144382e-05
4,948 Deep Indexed Active Learning for Matching Heterogeneous Entity Representations 2022 VLDB 6.3276067e-05
5,100 Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond 2021 SIGMOD 6.2624729e-05
6,478 ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks 2021 SIGMOD 5.7547004e-05
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