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A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching

Summary: Unifies active learning for Entity Matching into a benchmark framework to compose learning and selection strategies. On public EM data, active learning with fewer labels can match or beat supervised results; optimizations boost F1 ~9% and cut latency up to 10x. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5811
Venue
SIGMOD
Year
2020
Pagerank
8.1668285e-05
Overall Rank
2,758 | 80.84%
DOI
10.1145/3318464.3380597

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Rank Citing Paper Year Venue Pagerank
219 Deep Entity Matching with Pre-Trained Language Models 2021 VLDB 0.00033354456
4,837 Entity Resolution with Hierarchical Graph Attention Networks 2022 SIGMOD 5.8835638e-05
5,034 Deep Indexed Active Learning for Matching Heterogeneous Entity Representations 2022 VLDB 5.741974e-05
5,974 Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond 2021 SIGMOD 5.2458154e-05
6,552 How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses 2024 VLDB 5.0109216e-05
8,094 FlexER: Flexible Entity Resolution for Multiple Intents 2023 SIGMOD 4.5840579e-05
9,462 The Battleship Approach to the Low Resource Entity Matching Problem 2023 SIGMOD 4.3324933e-05
9,776 Data Augmentation for ML-driven Data Preparation and Integration 2021 VLDB 4.2815042e-05
9,854 Progressive Entity Matching: A Design Space Exploration 2025 SIGMOD 4.2652623e-05
10,022 In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration 2026 SIGMOD 4.1905499e-05
10,625 Deduplicated Sampling On-Demand 2025 VLDB 4.1905499e-05
11,225 Splitting Tuples of Mismatched Entities 2023 SIGMOD 4.1905499e-05
11,232 VersaMatch: Ontology Matching with Weak Supervision 2023 VLDB 4.1905499e-05
11,344 FILA: Online Auditing of Machine Learning Model Accuracy under Finite Labelling Budget 2022 SIGMOD 4.1905499e-05
11,441 New Algorithms for Monotone Classification 2021 PODS 4.1905499e-05
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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
265 CrowdER: Crowdsourcing Entity Resolution 2012 VLDB 0.00029904018
293 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00028661817
318 Evaluation of entity resolution approaches on real-world match problems 2010 VLDB 0.00027850417
507 On Active Learning of Record Matching Packages 2010 SIGMOD 0.00021474096
641 Corleone: Hands-Off Crowdsourcing for Entity Matching 2014 SIGMOD 0.00018759417
705 Magellan: Toward Building Entity Matching Management Systems 2016 VLDB 0.00017779048
863 Leveraging Transitive Relations for Crowdsourced Joins 2013 SIGMOD 0.00015793243
1,242 Question Selection for Crowd Entity Resolution 2013 VLDB 0.00013088272
1,821 Synthesizing Entity Matching Rules by Examples 2018 VLDB 0.00010406856
1,842 Crowdsourcing Algorithms for Entity Resolution 2014 VLDB 0.00010342022
2,176 Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services 2017 SIGMOD 9.3729351e-05
3,020 Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning 2015 VLDB 7.6987905e-05
4,112 Waldo: An Adaptive Human Interface for Crowd Entity Resolution 2017 SIGMOD 6.4329055e-05
4,617 Crowd-Based Deduplication: An Adaptive Approach 2015 SIGMOD 6.0400801e-05
5,369 Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach 2016 SIGMOD 5.5436995e-05
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Semantically Similar Papers

Overall Rank Paper Year Venue Pagerank
5,034 Deep Indexed Active Learning for Matching Heterogeneous Entity Representations 2022 VLDB 5.741974e-05
6,696 Analyzing How BERT Performs Entity Matching 2022 VLDB 4.9542861e-05
1,338 Entity Matching: How Similar Is Similar 2011 VLDB 0.00012501156
8,910 Deep Active Alignment of Knowledge Graph Entities and Schemata 2023 SIGMOD 4.4229886e-05
11,050 Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution 2024 VLDB 4.1905499e-05
3,917 A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs 2020 VLDB 6.6268463e-05
9,462 The Battleship Approach to the Low Resource Entity Matching Problem 2023 SIGMOD 4.3324933e-05
3,469 Deep Learning for Blocking in Entity Matching: A Design Space Exploration 2021 VLDB 7.0629476e-05
293 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00028661817
9,415 Ground Truth Inference for Weakly Supervised Entity Matching 2023 SIGMOD 4.3399748e-05