CODE+Pre-U表示PRE-CODE只初始化了话语编码器的参数。对比CODE到CODE+Pre-U再到PRE-CODE模型的性能,得出结论:预训练能够更好地嵌入话语,并帮助模型更有效地捕捉话语的上下文。此外,PRE-CODE+Re-W表示再对PRE-CODE重新多训练10个epoch来调整原来固定的单词嵌入。结果表明:预训练的词嵌入并不一定会提高模型的性能,...
Emotion Recognition in Conversations (ERC) is a key step towards successful human–machine interaction. While the field has seen tremendous advancemen
Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling.Recognizing emotions in conversations is a challenging task due to the\npresence of contextual dependencies governed by self- and inter-personal\ninfluences. Recent approaches have focused on modeling these ...
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation 对话GCN:一个用于对话情感识别的图卷积神经网络 出处:EMNLP 2019 Abstract 会话中的情感识别(Emotion recognition in conversation,ERC)近来因在医疗、教育、人力资源等领域的广泛应用而受到研究者的广泛关注。本文提出了对话图卷积...
EEG Dataset for the Recognition of Different Emotions Induced in Voice-User Interaction ArticleOpen access03 October 2024 Background & Summary Emotion Recognition in Conversation (ERC) is an emerging field focused on empowering machines to comprehend human emotions. Successful deployment of ERC technologie...
摘要原文 The lack of diverse conversations with emotion labels leads to low performance of emotion recognition in conversation in the target domain with large distribution differences. Unsupervised domain adaptation (UDA) is suitable in practice, which aims to train models using labeled data from the ...
where the target emotion isangry. Moreover, this code can also be molded to train the network in an end-to-end manner. We will soon push these useful changes. TL-ERC: Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling ...
Ghosal, Deepanway, Navonil Majumder, Soujanya Poria, Niyati Chhaya, and Alexander Gelbukh. "DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation." EMNLP 2019. Introduction Multimodal EmotionLines Dataset (MELD) has been created by enhancing and extending EmotionLines...
Paper tables with annotated results for CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation
Emotion Recognition in Conversation (ERC) is a key component in affective dialogue systems, which helps the system understand users’ emotions and generate empathetic responses. The typical approaches for modeling context have been to generate local representation of each utterance in a conversat...