To improve Reader′ s and Writer′ s for multi-dimensional emotion regression tasks with EMOBANK, this paper proposes an Adversarial Attention Network.

• Using an attention layer to determine which words are valuable for a particular emotion dimension
• Learning better word weights by using adversarial training
• Incorporating a shared attention layer to learn public word weights between two emotion dimensions

Powerpoint for this talk

Reference Paper

• EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis
• Adversarial Multi-task Learning for Text Classification
• Adversarial Training for Multi-task and Multi-lingual Joint Modeling of Utterance Intent Classification