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...
ERC Architecture:要将预训练的CODE模型(PRE-CODE)转移到ERC任务中,需要对PRE-CODE模型进行微调,这只需要添加一个全连接层(FC),然后添加一个softmax函数形成图4这样的新架构。在该体系架构中,作者还将独立于上下文的话语嵌入连接到上下文嵌入中,然后将其提供给全连接层。 文中采用了加权分类交叉熵损失函数来优化模...
论文阅读——Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances,程序员大本营,技术文章内容聚合第一站。
Deepanway Ghosal, Navonil Majumder, Soujanya Po- ria, Niyati Chhaya, and Alexander F. Gelbukh. 2019. Dialoguegcn: A graph convolutional neural net- work for emotion recognition in conversation. In EMNLP/IJCNLP (1), pages 154–164. Association for Computational Linguistics.↩︎↩︎↩︎...
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 ...
Emotion Recognition in Conversations Updates Data Format TL-ERC: Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling Setting up Run the ERC classifier with pre-trained weights [Optional] Create ERC Dataset splits ...
Emotion recognition in conversations is a challenging task that has recently gained popularity due to its potential applications. Until now, however, a large-scale multimodal multi-party emotional conversational database containing more than two speakers per dialogue was missing. Thus, we propose the ...
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 ...
A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in Conversation 来源:AAAI2021 链接:https://arxiv.org/pdf/2012.14781.pdf 1、Abstract ERC对话中的情感识别任务不仅要考虑文本的语义信息,还要考虑说话者之间的影响。 当前的方法是通过在每两个说话者之间建立一种关系来对说话者的互动进行...
Emotion Recognition in Conversation(ERC) 对话中的情感识别(ERC)旨在自动识别和追踪对话中对话者的情感状态,它具有广泛的潜在应用,比如构建自然的人机交互系统等。与此同时,社交媒体的快速发展带来的交互数据也促进了ERC的研究。如下图所示是IEMOCAP数据集中一个对话样例,对话场景是其中一个人被USC录取了,对话中他们改...