7 citations · 24 across the 9 of their papers we have counts for
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cs.DB2018
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…
cs.DB2018★ 6 cited
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…
cs.HC2018★ 3 cited
r-HUMO: A Risk-Aware Human-Machine Cooperation Framework for Entity Resolution with Quality Guarantees
Boyi Hou, Qun Chen, Zhaoqiang Chen +2
Even though many approaches have been proposed for entity resolution (ER), it remains very challenging to find one with quality guarantees. To this end, we proposea risk-aware HUma…