ECO v1: Towards Event-Centric Opinion Mining
- URL: http://arxiv.org/abs/2203.12264v1
- Date: Wed, 23 Mar 2022 08:20:45 GMT
- Title: ECO v1: Towards Event-Centric Opinion Mining
- Authors: Ruoxi Xu, Hongyu Lin, Meng Liao, Xianpei Han, Jin Xu, Wei Tan, Yingfei
Sun, Le Sun
- Abstract summary: We propose and formulate the task of event-centric opinion mining based on event-argument structure and expression categorizing theory.
Experiment results show that event-centric opinion mining is feasible and challenging.
- Score: 35.74022686478367
- License: http://creativecommons.org/licenses/by/4.0/
- 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.
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