x-enVENT：一个带有个体情绪和评价注释的事件描述语料库
x-enVENT: A Corpus of Event Descriptions with Experiencer-specific Emotion and Appraisal Annotations
摘要：
情感分类通常被表述为将文本分类到预定义的情感类集合中的任务。到目前为止，这一任务一直是识别作者和读者的情感，以及文本中提到的实体。我们认为，情感分析的分类设置应该以综合的方式进行，包括不同的语义角色，参与情绪发作。本文以心理学中的评价理论为基础，将情绪视为对事件的反应，编制了一个英语书面事件描述语料库。这些描述描绘了引发情绪的情况，并提到了情绪反应的人。我们对所有的体验者，包括原作者，用他们可能感受到的情感进行注释。此外，我们通过注释事件属性或评价（例如，感知事件不受欢迎，其结果的不确定性）。我们的分析揭示了人们的情感在互动中共同出现的模式。因此，这个丰富的注释资源提供了有用的数据，从不同角色的角度研究情绪和事件评价，它使开发的经验者特定的情绪和评价分类系统。
英文摘要：
Emotion classification is often formulated as the task to categorize texts into a predefined set of emotion classes. So far, this task has been the recognition of the emotion of writers and readers, as well as that of entities mentioned in the text. We argue that a classification setup for emotion analysis should be performed in an integrated manner, including the different semantic roles that participate in an emotion episode. Based on appraisal theories in psychology, which treat emotions as reactions to events, we compile an English corpus of written event descriptions. The descriptions depict emotion-eliciting circumstances, and they contain mentions of people who responded emotionally. We annotate all experiencers, including the original author, with the emotions they likely felt. In addition, we link them to the event they found salient (which can be different for different experiencers in a text) by annotating event properties, or appraisals (e.g., the perceived event undesirability, the uncertainty of its outcome). Our analysis reveals patterns in the co-occurrence of people's emotions in interaction. Hence, this richly-annotated resource provides useful data to study emotions and event evaluations from the perspective of different roles, and it enables the development of experiencer-specific emotion and appraisal classification systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
