Cost-Effective Data Annotation using Game-Based Crowdsourcing
Summary: CrowdGame enables cost-efficient data annotation via game-based crowdsourcing. Two worker cohorts (rule generators and rule refuters) play a minimax game to optimize coverage vs. precision, using Bayesian estimation for rule quality and task selection; demonstrated on entity matching and relation extraction, outperforming SOTA. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jingru Yang (Renmin University of China)
- 2. Ju Fan (Renmin University of China)
- 3. Zhewei Wei (Beihang University; Renmin University of China)
- 4. Guoliang Li (Tsinghua University)
- 5. Tongyu Liu (Renmin University of China)
- 6. Xiaoyong Du (Renmin University of China)
BibTeX Citation
@article{yang_vldb19,
title = {{Cost-Effective Data Annotation using Game-Based Crowdsourcing}},
author = {Yang, Jingru and Fan, Ju and Wei, Zhewei and Li, Guoliang and Liu, Tongyu and Du, Xiaoyong},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {1},
pages = {57--70},
doi = {10.14778/3275536.3275541},
url = {https://doi.org/10.14778/3275536.3275541},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,261 | Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration | 2020 | VLDB | 6.7982037e-05 |
| 5,722 | Adaptive Rule Discovery for Labeling Text Data | 2021 | SIGMOD | 6.1089867e-05 |
| 5,730 | Domain Adaptation for Deep Entity Resolution | 2022 | SIGMOD | 6.1071585e-05 |
| 8,336 | DADER: Hands-Off Entity Resolution with Domain Adaptation | 2022 | VLDB | 5.451516e-05 |
| 8,495 | CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling | 2019 | SIGMOD | 5.4139128e-05 |
| 9,818 | Hierarchical Entity Resolution using an Oracle | 2022 | SIGMOD | 5.214913e-05 |
| 10,049 | Towards Interpretable and Learnable Risk Analysis for Entity Resolution | 2020 | SIGMOD | 5.1685424e-05 |
| 10,382 | LLM-Powered Interactive Graph Search: A Scalable and Practical Approach | 2026 | SIGMOD | 5.093636e-05 |
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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.
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| 1 | 6,581 | Efficient Knowledge Graph Accuracy Evaluation | 2019 | VLDB |
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| 3 | 2,626 | Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning | 2015 | VLDB |
| 4 | 196 | CrowdER: Crowdsourcing Entity Resolution | 2012 | VLDB |
| 5 | 4,568 | CrowdMatcher: Crowd-Assisted Schema Matching | 2014 | SIGMOD |
| 6 | 7,357 | Crowdsourced Data Management: Overview and Challenges | 2017 | SIGMOD |
| 7 | 852 | Leveraging Transitive Relations for Crowdsourced Joins | 2013 | SIGMOD |
| 8 | 3,231 | Truth Inference in Crowdsourcing: Is the Problem Solved? | 2017 | VLDB |
| 9 | 4,538 | Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach | 2016 | SIGMOD |
| 10 | 8,495 | CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling | 2019 | SIGMOD |