Sentiment Interpretable Logic Tensor Network for Aspect-Term Sentiment Analysis

no code implementations • COLING 2022 • BoWen Zhang, Xu Huang, Zhichao Huang, Hu Huang, Baoquan Zhang, Xianghua Fu, Liwen Jing

SILTN is interpretable because it is a neurosymbolic formalism and a computational model that supports learning and reasoning about data with a differentiable first-order logic language (FOL).

Computational Efficiency Knowledge Distillation +1

A Logically Consistent Chain-of-Thought Approach for Stance Detection

no code implementations • 26 Dec 2023 • BoWen Zhang, Daijun Ding, Liwen Jing, Hu Huang

Zero-shot stance detection (ZSSD) aims to detect stances toward unseen targets.

Zero-Shot Stance Detection

Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media

no code implementations • 6 Apr 2023 • BoWen Zhang, Xianghua Fu, Daijun Ding, Hu Huang, Yangyang Li, Liwen Jing

Stance detection predicts attitudes towards targets in texts and has gained attention with the rise of social media.

Stance Detection

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge

no code implementations • 9 Apr 2021 • Prithwish Chakraborty, James Codella, Piyush Madan, Ying Li, Hu Huang, Yoonyoung Park, Chao Yan, Ziqi Zhang, Cheng Gao, Steve Nyemba, Xu Min, Sanjib Basak, Mohamed Ghalwash, Zach Shahn, Parthasararathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Yuen Reed, Kenney Ng, Daby Sow, Bradley A. Malin

Deep learning architectures have an extremely high-capacity for modeling complex data in a wide variety of domains.

BIG-bench Machine Learning