ECO v1: Towards Event-Centric Opinion Mining
R. F. Xu, Hongyu Lin, Meng Liao, Xianpei Han, Jin Xu, Wei Tan, Yingfei Sun, Le Sun · Findings of the Association for Computational Linguistics: ACL 2022 · 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 eventcentric opinion mining, although which significantly diverges from the well-studied entitycentric 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 eventcentric opinion mining is feasible and challenging, and the proposed task, dataset, and baselines are beneficial for future studies.