A low-rank matching attention based cross-modal feature fusion method for conversational emotion recognition

Y Shou, H Liu, X Cao, D Meng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Conversational emotion recognition (CER) is an important research topic in human-
computer interactions. Although recent advancements in transformer-based cross-modal …

Supervised prototypical contrastive learning for emotion recognition in conversation

X Song, L Huang, H Xue, S Hu - arXiv preprint arXiv:2210.08713, 2022 - arxiv.org
Capturing emotions within a conversation plays an essential role in modern dialogue
systems. However, the weak correlation between emotions and semantics brings many …

Dualgats: Dual graph attention networks for emotion recognition in conversations

D Zhang, F Chen, X Chen - … of the 61st Annual Meeting of the …, 2023 - aclanthology.org
Capturing complex contextual dependencies plays a vital role in Emotion Recognition in
Conversations (ERC). Previous studies have predominantly focused on speaker-aware …

[HTML][HTML] A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media

K Yang, T Zhang, S Ananiadou - Information Processing & Management, 2022 - Elsevier
Stress and depression detection on social media aim at the analysis of stress and
identification of depression tendency from social media posts, which provide assistance for …

Supervised adversarial contrastive learning for emotion recognition in conversations

D Hu, Y Bao, L Wei, W Zhou, S Hu - arXiv preprint arXiv:2306.01505, 2023 - arxiv.org
Extracting generalized and robust representations is a major challenge in emotion
recognition in conversations (ERC). To address this, we propose a supervised adversarial …

Cluster-level contrastive learning for emotion recognition in conversations

K Yang, T Zhang, H Alhuzali… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A key challenge for Emotion Recognition in Conversations (ERC) is to distinguish
semantically similar emotions. Some works utilise Supervised Contrastive Learning (SCL) …

A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations

W Zheng, J Yu, R Xia, S Wang - … of the 61st Annual Meeting of the …, 2023 - aclanthology.org
Abstract Multimodal Emotion Recognition in Multiparty Conversations (MERMC) has
recently attracted considerable attention. Due to the complexity of visual scenes in multi …

[HTML][HTML] PHQ-aware depressive symptoms identification with similarity contrastive learning on social media

T Zhang, K Yang, H Alhuzali, B Liu… - Information Processing & …, 2023 - Elsevier
Depressive symptoms identification on social media aims to identify posts from social media
expressing symptoms of depression. This can be beneficial for developing mental health …

Two birds with one stone: Knowledge-embedded temporal convolutional transformer for depression detection and emotion recognition

W Zheng, L Yan, FY Wang - IEEE Transactions on Affective …, 2023 - ieeexplore.ieee.org
Depression is a critical problem in modern society that affects an estimated 350 million
people worldwide, causing feelings of sadness and a lack of interest and pleasure …

EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation

Y Liu, J Li, X Wang, Z Zeng - Science China Information Sciences, 2024 - Springer
Emotion recognition in conversation (ERC) has attracted growing attention in recent years
as a result of the advancement and implementation of human-computer interface …