DNN-driven Gradual Machine Learning for Aspect-term Sentiment Analysis

no code implementations • Findings (ACL) 2021 • Murtadha Ahmed, Qun Chen, Yanyan Wang, Youcef Nafa, Zhanhuai Li, Tianyi Duan

BIG-bench Machine Learning Sentiment Analysis

Active Deep Learning on Entity Resolution by Risk Sampling

no code implementations • 23 Dec 2020 • Youcef Nafa, Qun Chen, Zhaoqiang Chen, Xingyu Lu, Haiyang He, Tianyi Duan, Zhanhuai Li

Building upon the recent advances in risk analysis for ER, which can provide a more refined estimate on label misprediction risk than the simpler classifier outputs, we propose a novel AL approach of risk sampling for ER.

Active Learning Entity Resolution

Adaptive Deep Learning for Entity Resolution by Risk Analysis

no code implementations • 7 Dec 2020 • Zhaoqiang Chen, Qun Chen, Youcef Nafa, Tianyi Duan, Wei Pan, Lijun Zhang, Zhanhuai Li

Built on the recent advances on risk analysis for ER, the proposed approach first trains a deep model on labeled training data, and then fine-tunes it by minimizing its estimated misprediction risk on unlabeled target data.

Entity Resolution Transfer Learning

Gradual Machine Learning for Entity Resolution

no code implementations • 29 Oct 2018 • Boyi Hou, Qun Chen, Yanyan Wang, Youcef Nafa, Zhanhuai Li

Using ER as a test case, we demonstrate that gradual machine learning is a promising paradigm potentially applicable to other challenging classification tasks requiring extensive labeling effort.

BIG-bench Machine Learning Entity Resolution +1