1 code implementation • 23 Jul 2023 • Yuzhao Mao, Di Lu, Xiaojie Wang, Yang Zhang
This paper concentrates on the understanding of interlocutors' emotions evoked in conversational utterances.
Ranked #17 on Emotion Recognition in Conversation on IEMOCAP
1 code implementation • EMNLP 2021 • Guang Liu, Yuzhao Mao, Hailong Huang, Weiguo Gao, Xuan Li
To address these issues, we propose the Adversarial Mixing Policy (AMP), organized in a min-max-rand formulation, to relax the Locally Linear Constraints in Mixup.
no code implementations • 3 Mar 2020 • Jingyuan Yang, Guang Liu, Yuzhao Mao, Zhiwei Zhao, Weiguo Gao, Xuan Li, Haiqin Yang, Jianping Shen
Task 1 of the DSTC8-track1 challenge aims to develop an end-to-end multi-domain dialogue system to accomplish complex users' goals under tourist information desk settings.
no code implementations • 15 Oct 2020 • Yuzhao Mao, Qi Sun, Guang Liu, Xiaojie Wang, Weiguo Gao, Xuan Li, Jianping Shen
Emotion Recognition in Conversations (ERC) is essential for building empathetic human-machine systems.
no code implementations • 24 Sep 2021 • Guang Liu, Hailong Huang, Yuzhao Mao, Weiguo Gao, Xuan Li, Jianping Shen
Previous studies mostly use a fine-tuned Language Model (LM) to strengthen the constraints but ignore the fact that the potential of diversity could improve the effectiveness of generated data.
no code implementations • Findings (EMNLP) 2021 • Yuzhao Mao, Guang Liu, Xiaojie Wang, Weiguo Gao, Xuan Li
Emotion dynamics formulates principles explaining the emotional fluctuation during conversations.