Automated Question Generation and Question Answering
Introduction
In this research direction, we want to explore the key roles that causality and analogy play in NLP and machine intelligence. Our long-term vision is to improve the generalization, robustness, and explainability of machine learning models in NLP and apply them to different domains, e.g., news media, healthcare, and finance.
Relevant Materials
Publications
- [51]  
Hua Zhu, Hong Huang✉, Zejun Fan, Kehan Yin, Hai Jin, Bang Liu.
CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention,
in IJCAI 2024.
- [36]  
Sifan Wu−, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu✉. (2023).
Identify Event Causality with Knowledge and Analogy,
in AAAI 2023.
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