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FATRER: Full-Attention Topic Regularizer for Accurate and Robust
  Conversational Emotion Recognition

FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition

23 July 2023
Yuzhao Mao
Di Lu
Xiaojie Wang
Yang Zhang
ArXivPDFHTML

Papers citing "FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition"

3 / 3 papers shown
Title
GatedxLSTM: A Multimodal Affective Computing Approach for Emotion Recognition in Conversations
GatedxLSTM: A Multimodal Affective Computing Approach for Emotion Recognition in Conversations
Yupei Li
Qiyang Sun
Sunil Munthumoduku Krishna Murthy
Emran Alturki
Björn Schuller
57
0
0
26 Mar 2025
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
130
0
15 Dec 2021
Topic Modeling with Contextualized Word Representation Clusters
Topic Modeling with Contextualized Word Representation Clusters
Laure Thompson
David M. Mimno
110
83
0
23 Oct 2020
1