Knowledge about emotional events is an important kind of knowledge which has been applied to improve the effectiveness of different applications. However, emotional events cannot be easily acquired, especially common or generalized emotional events that are context-independent. The goal of this paper is to obtain common emotional events in Chinese language such as "win a prize" and "be criticized". Our approach begins by collecting a comprehensive list of Chinese emotional event indicators. Then, we generate emotional events by prompting a Chinese large language model (LLM) using these indicators. To ensure the quality of these emotional events, we train a filter to discard invalid generated results. We also classify these emotional events as being positive events and negative events using different techniques. Finally, we harvest a total of 102,218 high-quality common emotional events with sentiment polarity labels, which is the only large-scale commonsense knowledge base of emotional events in Chinese language. Intrinsic evaluation results show that the proposed method in this paper can be effectively used to acquire common Chinese emotional events. An extrinsic use case also demonstrates the strong potential of common emotional events in the field of emotion cause extraction (ECE). Related resources including emotional event indicators and emotional events will be released after the publication of this paper.

翻译：情感事件知识是一类重要的知识，已被应用于提升不同应用的有效性。然而，情感事件难以轻易获取，尤其是那些与上下文无关的常见或泛化情感事件。本文的目标是获取中文中的常见情感事件，例如“获奖”和“受批评”。我们的方法首先收集一份全面的中文情感事件指示词列表。然后，通过使用这些指示词提示一个中文大语言模型（LLM）来生成情感事件。为确保这些情感事件的质量，我们训练了一个过滤器来丢弃无效的生成结果。我们还使用不同技术将这些情感事件分类为积极事件和消极事件。最终，我们收获了总计102,218个带有情感极性标签的高质量常见情感事件，这是唯一一个大规模的中文情感事件常识知识库。内在评估结果表明，本文提出的方法能有效用于获取中文常见情感事件。一个外在用例也展示了常见情感事件在情感原因提取（ECE）领域的强大潜力。相关资源，包括情感事件指示词和情感事件，将在本文发表后发布。