136 citations · 481 across the 10 of their papers we have counts for
6 papers · 1 filter
ERNetCL: A novel emotion recognition network in textual conversation based on curriculum learning strategy
Jiang Li, Xiaoping Wang, Yingjian Liu +1
Emotion recognition in conversation (ERC) has emerged as a research hotspot in domains such as conversational robots and question-answer systems. How to efficiently and adequately…
CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition
Jiang Li, Xiaoping Wang, Yingjian Liu +1
Multimodal emotion recognition in conversation (ERC) has garnered growing attention from research communities in various fields. In this paper, we propose a Cross-modal Fusion Netw…
A Dual-Stream Recurrence-Attention Network With Global-Local Awareness for Emotion Recognition in Textual Dialog
Jiang Li, Xiaoping Wang, Zhigang Zeng
In real-world dialog systems, the ability to understand the user's emotions and interact anthropomorphically is of great significance. Emotion Recognition in Conversation (ERC) is…
EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation
Yingjian Liu, Jiang Li, Xiaoping Wang +1
Emotion Recognition in Conversation (ERC) has attracted growing attention in recent years as a result of the advancement and implementation of human-computer interface technologies…
InferEM: Inferring the Speaker's Intention for Empathetic Dialogue Generation
Guoqing Lv, Jiang Li, Xiaoping Wang +1
Current approaches to empathetic response generation typically encode the entire dialogue history directly and put the output into a decoder to generate friendly feedback. These me…
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition
Jiang Li, Xiaoping Wang, Guoqing Lv +1
Emotion Recognition in Conversation (ERC) plays a significant part in Human-Computer Interaction (HCI) systems since it can provide empathetic services. Multimodal ERC can mitigate…