Wei Tan


ECO v1: Towards Event-Centric Opinion Mining
Ruoxi Xu | Hongyu Lin | Meng Liao | Xianpei Han | Jin Xu | Wei Tan | Yingfei Sun | Le Sun
Findings of the Association for Computational Linguistics: ACL 2022

Events are considered as the fundamental building blocks of the world. Mining event-centric opinions can benefit decision making, people communication, and social good. Unfortunately, there is little literature addressing event-centric opinion mining, although which significantly diverges from the well-studied entity-centric opinion mining in connotation, structure, and expression. In this paper, we propose and formulate the task of event-centric opinion mining based on event-argument structure and expression categorizing theory. We also benchmark this task by constructing a pioneer corpus and designing a two-step benchmark framework. Experiment results show that event-centric opinion mining is feasible and challenging, and the proposed task, dataset, and baselines are beneficial for future studies.


A Real-World Human-Machine Interaction Platform in Insurance Industry
Wei Tan | Chia-Hao Chang | Yang Mo | Lian-Xin Jiang | Gen Li | Xiao-Long Hou | Chu Chen | Yu-Sheng Huang | Meng-Yuan Huang | Jian-Ping Shen
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)