论文标题
建立用表达和经验丰富的情绪注释的对话语料库
Building a Dialogue Corpus Annotated with Expressed and Experienced Emotions
论文作者
论文摘要
在交流中，人会认识到对话者的情绪，并以适当的情感（例如同情和舒适）做出回应。为了开发具有这种类似人类的能力的对话系统，我们提出了一种用两种情绪注释的对话语料库的方法。我们从Twitter收集对话，并以演讲者对话语（表达的情感）的情感和听众听到话语（经验丰富的情感）感到的情感进行注释。我们使用这种方法在日语中建立了对话语料库，其统计分析揭示了表达和经验丰富的情绪之间的差异。我们对认识两种情绪进行了实验。实验结果表明，很难识别出经验丰富的情绪以及对两种情绪的多任务学习的有效性。我们希望构造的语料库能够促进对话和情感意识的对话响应产生的情感识别的研究。
In communication, a human would recognize the emotion of an interlocutor and respond with an appropriate emotion, such as empathy and comfort. Toward developing a dialogue system with such a human-like ability, we propose a method to build a dialogue corpus annotated with two kinds of emotions. We collect dialogues from Twitter and annotate each utterance with the emotion that a speaker put into the utterance (expressed emotion) and the emotion that a listener felt after listening to the utterance (experienced emotion). We built a dialogue corpus in Japanese using this method, and its statistical analysis revealed the differences between expressed and experienced emotions. We conducted experiments on recognition of the two kinds of emotions. The experimental results indicated the difficulty in recognizing experienced emotions and the effectiveness of multi-task learning of the two kinds of emotions. We hope that the constructed corpus will facilitate the study on emotion recognition in a dialogue and emotion-aware dialogue response generation.
