Contrast and Generation Make BART a Good Dialogue Emotion Recognizer

Contrast and Generation Make BART a Good Dialogue Emotion Recognizer

21 December 2021

Xipeng Qiu

Papers citing "Contrast and Generation Make BART a Good Dialogue Emotion Recognizer"

10 / 10 papers shown

Title
ERNetCL: A novel emotion recognition network in textual conversation based on curriculum learning strategy Jiang Li Xiaoping Wang Yingjian Liu Zhigang Zeng 31 6 0 12 Aug 2023
FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition Yuzhao Mao Di Lu Xiaojie Wang Yang Zhang 15 1 0 23 Jul 2023
A Dual-Stream Recurrence-Attention Network With Global-Local Awareness for Emotion Recognition in Textual Dialog Jiang Li Xiaoping Wang Zhigang Zeng 13 4 0 02 Jul 2023
Cluster-Level Contrastive Learning for Emotion Recognition in Conversations Kailai Yang Tianlin Zhang Hassan Alhuzali Sophia Ananiadou 23 43 0 07 Feb 2023
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition Guimin Hu Ting-En Lin Yi Zhao Guangming Lu Yuchuan Wu Yongbin Li 25 110 0 21 Nov 2022
Deep Emotion Recognition in Textual Conversations: A Survey Patrícia Pereira Helena Moniz Joao Paulo Carvalho 29 15 0 16 Nov 2022
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation Xiaohui Song Longtao Huang Hui Xue Songlin Hu 14 84 0 17 Oct 2022
Revisiting Self-Supervised Contrastive Learning for Facial Expression Recognition Yuxuan Shu Xiao Gu Guangyao Yang Benny P. L. Lo SSL 49 17 0 08 Oct 2022
The Emotion is Not One-hot Encoding: Learning with Grayscale Label for Emotion Recognition in Conversation Joosung Lee CVBM 16 5 0 15 Jun 2022
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,450 0 18 Mar 2020