ECO v1: Towards Event-Centric Opinion Mining
Abstract
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.
Cite
@article{arxiv.2203.12264,
title = {ECO v1: Towards Event-Centric Opinion Mining},
author = {Ruoxi Xu and Hongyu Lin and Meng Liao and Xianpei Han and Jin Xu and Wei Tan and Yingfei Sun and Le Sun},
journal= {arXiv preprint arXiv:2203.12264},
year = {2022}
}
Comments
Accepted to Findings of ACL2022