no code implementations • COLING 2022 • Jianhua Yuan, Yanyan Zhao, Yanyue Lu, Bing Qin
Motivated by how humans tackle stance detection tasks, we propose to incorporate the stance reasoning process as task knowledge to assist in learning genuine features and reducing reliance on bias features.
no code implementations • 20 Dec 2022 • Jianhua Yuan, Yanyan Zhao, Bing Qin
Stance detection models may tend to rely on dataset bias in the text part as a shortcut and thus fail to sufficiently learn the interaction between the targets and texts.
no code implementations • 6 Sep 2022 • Pengfei Deng, Jianhua Yuan, Yanyan Zhao, Bing Qin
Our key intuition is that the sentiment representation of a document is composed of the sentiment representations of all the aspects of that document.
no code implementations • 17 Apr 2021 • Jianhua Yuan, Yanyan Zhao, Bing Qin, Ting Liu
To this end, we propose the BertMasker network which explicitly masks domain-related words from texts, learns domain-invariant sentiment features from these domain-agnostic texts, and uses those masked words to form domain-aware sentence representations.
General Classification Multi-Domain Sentiment Classification +3