2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 2 cited
Gradual Machine Learning for Aspect-level Sentiment Analysis
Yanyan Wang, Qun Chen, Jiquan Shen +3
The state-of-the-art solutions for Aspect-Level Sentiment Analysis (ALSA) were built on a variety of deep neural networks (DNN), whose efficacy depends on large amounts of accurate…
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.DB2017★ 1 cited
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…