7 citations · 24 across the 9 of their papers we have counts for
4 papers · 1 filter
Towards Interpretable and Learnable Risk Analysis for Entity Resolution
Zhaoqiang Chen, Qun Chen, Boyi Hou +3
Machine-learning-based entity resolution has been widely studied. However, some entity pairs may be mislabeled by machine learning models and existing studies do not study the risk…
Gradual Machine Learning for Entity Resolution
Boyi Hou, Qun Chen, Yanyan Wang +2
Usually considered as a classification problem, entity resolution (ER) can be very challenging on real data due to the prevalence of dirty values. The state-of-the-art solutions fo…
Improving Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective
Zhaoqiang Chen, Qun Chen, Boyi Hou +2
Pure machine-based solutions usually struggle in the challenging classification tasks such as entity resolution (ER). To alleviate this problem, a recent trend is to involve the hu…
Enabling Quality Control for Entity Resolution: A Human and Machine Cooperation Framework
Zhaoqiang Chen, Qun Chen, Fengfeng Fan +6
Even though many machine algorithms have been proposed for entity resolution, it remains very challenging to find a solution with quality guarantees. In this paper, we propose a no…