Toward Dimensional Emotion Detection from Categorical Emotion Annotations

6 Nov 2019Sungjoon ParkJiseon KimJaeyeol JeonHeeyoung ParkAlice Oh

We propose a framework which makes a model predict fine-grained dimensional emotions (valence-arousal-dominance, VAD) trained on corpus annotated with coarse-grained categorical emotions. We train a model by minimizing EMD distances between predicted VAD score distribution and \textit{sorted} categorical emotion distributions in terms of VAD, as a proxy of target VAD score distributions... (read more)

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