2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.DB2019
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…
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…