SemEval2019Task3_ERC | (6) Hybrid Features for Emotion Recognition in Textual Conversation

时间 2021-01-12

标签 SemEval2019Task3_ERC 栏目 Hybrid 繁體版

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原文下载提取码:n8lx 目录 1. 比赛介绍 2. 模型描述 3. 实验 1. 比赛介绍 SemEval2019Task3_ERC是2019年Semantic Evaluation的第三个任务，对话情感识别。使用的数据集是EmoContext，该对话数据集为纯文本数据集，来自社交平台。分为训练集、验证集和测试集。其中训练集、验证集、测试集各包含30,160、2755和5509个对话，每个对话

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1. SemEval2019Task3_ERC | (2) Attentive Conversation Modeling for Emotion Detection and Classification
2. [NLU] DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
3. Emotion Recognition Using Graph Convolutional Networks
4. Recurrent Neural Networks for Emotion Recognition in Video
5. （EmotiW2016）Video-based emotion recognition using CNNRNN and C3D hybrid networks
6. EmotiW2016第一论文Video-based emotion recognition using CNNRNN and C3D hybrid networks
7. SemEval2019Task3_ERC | (4) Emotion detection in conversations through Tweets,CNN and LSTM DNN
8. Paper：Extended deep neural network for facial emotion recognition（2019)
9. 深度学习文章阅读3--Video-based emotion recognition using CNNRNN and C3D hybrid networks
10. 论文阅读Hierarchical sparse coding framework for speech emotion recognition
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1. SemEval2019Task3_ERC | (2) Attentive Conversation Modeling for Emotion Detection and Classification
2. [NLU] DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
3. Emotion Recognition Using Graph Convolutional Networks
4. Recurrent Neural Networks for Emotion Recognition in Video
5. （EmotiW2016）Video-based emotion recognition using CNNRNN and C3D hybrid networks
6. EmotiW2016第一论文Video-based emotion recognition using CNNRNN and C3D hybrid networks
7. SemEval2019Task3_ERC | (4) Emotion detection in conversations through Tweets,CNN and LSTM DNN
8. Paper：Extended deep neural network for facial emotion recognition（2019)
9. 深度学习文章阅读3--Video-based emotion recognition using CNNRNN and C3D hybrid networks
10. 论文阅读Hierarchical sparse coding framework for speech emotion recognition

>>更多相关文章<<