Deep emotion recognition in textual conversations: A survey
Abstract Emotion Recognition in Conversations (ERC) is a key step towards successful
human–machine interaction. While the field has seen tremendous advancement in the last …
human–machine interaction. While the field has seen tremendous advancement in the last …
Arabic Emotion Recognition in Low-Resource Settings: A Novel Diverse Model Stacking Ensemble with Self-Training
MJ Althobaiti - Applied Sciences, 2023 - mdpi.com
Emotion recognition is a vital task within Natural Language Processing (NLP) that involves
automatically identifying emotions from text. As the need for specialized and nuanced …
automatically identifying emotions from text. As the need for specialized and nuanced …
Fuzzy fingerprinting transformer language-models for emotion recognition in conversations
Fuzzy Fingerprints have been successfully used as an interpretable text classification
technique, but, like most other techniques, have been largely surpassed in performance by …
technique, but, like most other techniques, have been largely surpassed in performance by …
ConText at WASSA 2024 Empathy and Personality Shared Task: History-Dependent Embedding Utterance Representations for Empathy and Emotion Prediction in …
Empathy and emotion prediction are key components in the development of effective and
empathetic agents, amongst several other applications. The WASSA shared task on …
empathetic agents, amongst several other applications. The WASSA shared task on …
SEC: contexte émotionnel phrastique intégré pour la reconnaissance émotionnelle efficiente dans la conversation
L'essor des modèles d'apprentissage profond a apporté une contribution significative à la
reconnaissance des émotions dans les conversations (ERC). Cependant, cette tâche reste …
reconnaissance des émotions dans les conversations (ERC). Cependant, cette tâche reste …
An Emotion Recognition Method in Conversations Based on Knowledge Selection and Fuzzy Fingerprints
Y You, Y Wang - International Artificial Intelligence Conference, 2023 - Springer
In the context of large-scale pre-trained language models such as BERT or RoBERTa, they
exhibit outstanding performance in natural language processing tasks, but they suffer from a …
exhibit outstanding performance in natural language processing tasks, but they suffer from a …