EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators

Understand

The recognition of emotion and dialogue acts enriches conversational analysis and help to build natural dialogue systems.

• Emotion interpretation makes us understand feelings and dialogue acts reflect the intentions and performative functions in the utterances.
• However, most of the textual and multi-modal conversational emotion corpora contain only emotion labels but not dialogue acts.
• To address this problem, we propose to use a pool of various recurrent neural models trained on a dialogue act corpus, with and without context.