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JDCFC: A Japanese Dialogue Corpus with Feature Changes
In recent years, the importance of dialogue understanding systems has been increasing. However, it is difficult for computers to deeply understand our daily conversations because we frequently use emotional expressions …...
JFCKB: Japanese Feature Change Knowledge Base
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Questions as a Pre-event, Pivot Event and Post-event of Emotions
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Modeling Language Usage and Listener Engagement in Podcasts
AbstractWhile there is an abundance of advice to podcast creators on how to speak in ways that engage their listeners, there has been little data-driven analysis of podcasts that relates …...
Beyond Emotion: A Multi-Modal Dataset for Human Desire Understanding
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Emp-RFT: Empathetic Response Generation via Recognizing Feature Transitions between Utterances
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Using Multi-Encoder Fusion Strategies to Improve Personalized Response Selection
AbstractPersonalized response selection systems are generally grounded on persona. However, a correlation exists between persona and empathy, which these systems do not explore well. Also, when a contradictory or off-topic …...