5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CL2022
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database
Jinming Zhao, Tenggan Zhang, Jingwen Hu +4
The emotional state of a speaker can be influenced by many different factors in dialogues, such as dialogue scene, dialogue topic, and interlocutor stimulus. The currently availabl…
cs.CL2021★ 5 cited
MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation
Jingwen Hu, Yuchen Liu, Jinming Zhao +1
Emotion recognition in conversation (ERC) is a crucial component in affective dialogue systems, which helps the system understand users' emotions and generate empathetic responses.…
cs.MM2020
MUSE2020 challenge report
Ruichen Li, JingWen Hu, Shuai Guo +1
This paper is a brief report for MUSE2020 challenge. We present our solution for Muse-Wild sub challenge. The aim of this challenge is to investigate sentiment analysis method in r…