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- W4308351423 abstract "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." @default.
- W4308351423 created "2022-11-11" @default.
- W4308351423 creator A5025769317 @default.
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- W4308351423 date "2022-05-24" @default.
- W4308351423 modified "2023-09-24" @default.
- W4308351423 title "Building a Dialogue Corpus Annotated with Expressed and Experienced Emotions" @default.
- W4308351423 doi "https://doi.org/10.48550/arxiv.2205.11867" @default.
- W4308351423 hasPublicationYear "2022" @default.
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