M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation

Author:

Chudasama Vishal1,Kar Purbayan1,Gudmalwar Ashish1,Shah Nirmesh1,Wasnik Pankaj1,Onoe Naoyuki1

Affiliation:

1. Sony Research India,Media Analysis Group,Bangalore,India

Publisher

IEEE

Reference38 articles.

1. Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection

2. Emotionflow: Capture the dialogue level emotion transitions;zhang;Accepted for ICASSP,2022

3. Contextualized emotion recognition in conversation as sequence tagging;wang;Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue,2020

4. Attention is all you need;vaswani;Advances in neural information processing systems,2017

5. Multimodal Transformer for Unaligned Multimodal Language Sequences

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