Dualgats: Dual graph attention networks for emotion recognition in conversations
Capturing complex contextual dependencies plays a vital role in Emotion Recognition in
Conversations (ERC). Previous studies have predominantly focused on speaker-aware …
Conversations (ERC). Previous studies have predominantly focused on speaker-aware …
DQ-HGAN: A heterogeneous graph attention network based deep Q-learning for emotional support conversation generation
G Li, M Wu, C Wang, Z Liu - Knowledge-Based Systems, 2024 - Elsevier
Abstract Emotional Support Conversation (ESC) is widely applied in the fields of intelligent
companionship, particularly in psychological health support and customer service. However …
companionship, particularly in psychological health support and customer service. However …
Producing Considerate Responses: Progressive Staged Training for Emotional Support Conversation
G Lv, J Li, X Wang, X Zhan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Emotional support conversation (ESC) aims to alleviate the negative emotions of help-
seekers by providing psychological assistance. Existing approaches typically overlook the …
seekers by providing psychological assistance. Existing approaches typically overlook the …
Think twice: A human-like two-stage conversational agent for emotional response generation
Y Qian, B Wang, S Ma, W Bin, S Zhang, D Zhao… - arxiv preprint arxiv …, 2023 - arxiv.org
Towards human-like dialogue systems, current emotional dialogue approaches jointly
model emotion and semantics with a unified neural network. This strategy tends to generate …
model emotion and semantics with a unified neural network. This strategy tends to generate …
ARIEL: Brain-Computer Interfaces meet Large Language Models for Emotional Support Conversation
In an era characterized by unprecedented virtual connectivity, paradoxically, individuals
often find themselves disconnected from genuine human interactions. The advent of remote …
often find themselves disconnected from genuine human interactions. The advent of remote …