Modeling Sentiment-Speaker-Dependency for Emotion Recognition in Conversation
L Ge, F Huang, Q Li, Y Ye - 2024 International Joint Conference …, 2024 - ieeexplore.ieee.org
Emotion Recognition in Conversations (ERC) plays a crucial role in the development of
human-machine interaction. Conversations are a multi-party, multi-emotion, and multi-turn …
human-machine interaction. Conversations are a multi-party, multi-emotion, and multi-turn …
基于语篇解析和图注意力网络的对话情绪识别
郝秀兰， 魏少华， 曹乾， 张雄涛 - 电信科学, 2024 - infocomm-journal.com
对话情绪识别研究主要聚焦于融合对话上下文和说话者建模的相互关系. 当前研究通常忽略对话
内部存在的依存关系, 导致对话的上下文联系不够紧密, 说话者之间的关系也缺乏逻辑. 因此 …
内部存在的依存关系, 导致对话的上下文联系不够紧密, 说话者之间的关系也缺乏逻辑. 因此 …
Emotion recognition in conversations based on discourse parsing and graph attention network.
HAO **ulan, WEI Shaohua… - Telecommunications …, 2024 - search.ebscohost.com
The research on emotion recognition in conversations (ERC) focuses on the
interrelationship between conversational context and speaker modeling. The current …
interrelationship between conversational context and speaker modeling. The current …
[IDÉZET][C] 角色增**的共情回复生成
吴运兵， 叶成龙， 阴爱英， 陈开志， 杨州 - 模式识别与人工智能