论文标题
emobank：研究注释观点和表示格式对维度情绪分析的影响
EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis
论文作者
论文摘要
我们描述了emobank，这是一个平衡多种流派的10k英语句子的语料库，我们用尺寸的情感元数据注释，在价值偏主（VAD）表示格式中。 Emobank擅长于双重镜头和双代表设计。一方面，我们将作家和读者的情感区分开来，另一方面，基于基本情绪的分类vad注释的一个子集补充了维数vad注释。我们找到了读者观点在IAA和评级强度方面的至高无上的证据，并在尺寸和分类格式之间映射时实现了几乎人类的性能。
We describe EmoBank, a corpus of 10k English sentences balancing multiple genres, which we annotated with dimensional emotion metadata in the Valence-Arousal-Dominance (VAD) representation format. EmoBank excels with a bi-perspectival and bi-representational design. On the one hand, we distinguish between writer's and reader's emotions, on the other hand, a subset of the corpus complements dimensional VAD annotations with categorical ones based on Basic Emotions. We find evidence for the supremacy of the reader's perspective in terms of IAA and rating intensity, and achieve close-to-human performance when mapping between dimensional and categorical formats.
