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Found 4 papers, 1 papers with code
An Attention Model for group-level emotion recognition
In this paper we propose a new approach for classifying the global emotion of images containing groups of people.
Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System
Multimodal dialogue systems have opened new frontiers in the traditional goal-oriented dialogue systems.
Reinforced Multi-task Approach for Multi-hop Question Generation
Question generation (QG) attempts to solve the inverse of question answering (QA) problem by generating a natural language question given a document and an answer.
MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations
Multi-label emotion detection in conversations is a significant task that provides the ability to the system to understand the various emotions of the users interacting.
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