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Towards Interpretable and Learnable Risk Analysis for Entity Resolution
Summary: Proposes an interpretable, learnable risk-analysis framework for entity resolution that ranks labeled pairs by mislabeling risk. Automatically derives interpretable risk features and trains a learnable model; experiments show higher accuracy than baselines.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 5785
- Venue
- SIGMOD
- Year
- 2020
- Pagerank
- 4.2600049e-05
- Overall Rank
- 9,896 | 31.16%
- DOI
-
10.1145/3318464.3380572
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Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 192 |
HoloClean: Holistic Data Repairs with Probabilistic Inference |
2017 |
VLDB |
0.00035728858 |
| 263 |
CrowdER: Crowdsourcing Entity Resolution |
2012 |
VLDB |
0.00029862413 |
| 300 |
Deep Learning for Entity Matching: A Design Space Exploration |
2018 |
SIGMOD |
0.00028441466 |
| 509 |
On Active Learning of Record Matching Packages |
2010 |
SIGMOD |
0.00021409518 |
| 643 |
Corleone: Hands-Off Crowdsourcing for Entity Matching |
2014 |
SIGMOD |
0.00018754451 |
| 702 |
Reasoning about Record Matching Rules |
2009 |
VLDB |
0.00017918203 |
| 754 |
Distributed Representations of Tuples for Entity Resolution |
2018 |
VLDB |
0.00017117211 |
| 814 |
Entity Resolution: Theory, Practice & Open Challenges |
2012 |
VLDB |
0.00016370594 |
| 1,242 |
Question Selection for Crowd Entity Resolution |
2013 |
VLDB |
0.00013096655 |
| 1,546 |
KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing |
2015 |
SIGMOD |
0.00011446851 |
| 1,841 |
Crowdsourcing Algorithms for Entity Resolution |
2014 |
VLDB |
0.00010348858 |
| 2,722 |
Progressive Approach to Relational Entity Resolution |
2014 |
VLDB |
8.2338356e-05 |
| 3,118 |
Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning |
2015 |
VLDB |
7.5379338e-05 |
| 3,861 |
Generating Concise Entity Matching Rules |
2017 |
SIGMOD |
6.6878164e-05 |
| 4,104 |
Online Entity Resolution Using an Oracle |
2016 |
VLDB |
6.4493809e-05 |
| 4,126 |
Waldo: An Adaptive Human Interface for Crowd Entity Resolution |
2017 |
SIGMOD |
6.4314729e-05 |
| 4,619 |
Crowd-Based Deduplication: An Adaptive Approach |
2015 |
SIGMOD |
6.0444854e-05 |
| 5,362 |
Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach |
2016 |
SIGMOD |
5.5473503e-05 |
| 6,868 |
Cost-Effective Data Annotation using Game-Based Crowdsourcing |
2019 |
VLDB |
4.9010083e-05 |
| 7,668 |
Human-in-the-loop Data Integration |
2017 |
VLDB |
4.6834075e-05 |
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