SemEval2019Task3_ERC | (6) Hybrid Features for Emotion Recognition in Textual Conversation
原文下載 提取碼:n8lx 目錄 1. 比賽介紹 2. 模型描述 3. 實驗 1. 比賽介紹 SemEval2019Task3_ERC是2019年Semantic Evaluation的第三個任務，對話情感識別。 使用的數據集是EmoContext，該對話數據集爲純文本數據集，來自社交平臺。分爲訓練集、驗證集和測試集。其中訓練集、驗證集、測試集各包含30,160、2755和5509個對話，每個對話
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相關文章
- 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第一論文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. 深度學習文章閱讀3--Video-based emotion recognition using CNNRNN and C3D hybrid networks
- 10. 論文閱讀Hierarchical sparse coding framework for speech emotion recognition