SemEval2019Task3_ERC | (4) Emotion detection in conversations through Tweets,CNN and LSTM DNN
原文下載 提取碼：7mfx 開源代碼 目錄 1. 比賽介紹 2. 模型描述 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. SemEval2019Task3_ERC | (6) Hybrid Features for Emotion Recognition in Textual Conversation
- 3. saliency detection by forward and backward cues in deep-cnn
- 4. Video-based Emotion Recognition Using Multi-dichotomy RNN-DNN
- 5. SemEval2019Task3_ERC | (1) Affect Classification in Dialogue using Attentive BiLSTMs
- 6. DNN CNN RNN
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- 9. Concepts and Tricks In CNN
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