论文标题
ECO V1：迈向以事件为中心的意见挖掘
ECO v1: Towards Event-Centric Opinion Mining
论文作者
论文摘要
事件被认为是世界的基本构建块。以挖掘活动为中心的意见可以使决策，人交流和社会利益受益。不幸的是，几乎没有关于以事件为中心的意见挖掘的文献，尽管在含义，结构和表达方面与良好的以实体意见挖掘有很大不同。在本文中，我们提出并制定了基于事件的结构和表达方式分类理论的以事件意见挖掘的任务。我们还通过构建先锋语料库并设计两个步骤的基准框架来对此任务进行基准测试。实验结果表明，以事件为中心的意见挖掘是可行且具有挑战性的，拟议的任务，数据集和基准对未来的研究有益。
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.
