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We present open domain response generation with meta-words.
What makes a good conversation? how controllable attributes affect human judgments
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Topic aware neural response generation
Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, and Wei-Ying Ma. 2017 · 2017
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Learning discourse-level diversity for neural dialog models using conditional variational autoencoders
Tiancheng Zhao, Ran Zhao, and Maxine Eskenazi. 2017 · 2017
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Content preserving text generation with attribute controls
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A hierarchical latent structure for variational conversation modeling
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From eliza to xiaoice: Challenges and opportunities with social chatbots
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Get the point of my utterance! learning towards effective responses with multi-head attention mechanism
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Learning to control the specificity in neural response generation
Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, and Xueqi Cheng. 2018a
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Generating informative and diverse conversational responses via adversarial information maximization
Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, and Bill Dolan. 2018b
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Chongyang Tao, Shen Gao, Mingyue Shang, Wei Wu, Dongyan Zhao, and Rui Yan. 2018 · 2018
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Neural response generation with dynamic vocabularies
Yu Wu, Wei Wu, Dejian Yang, Can Xu, Zhoujun Li, and Ming Zhou. 2018 · 2018
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Hierarchical recurrent attention network for response generation
Chen Xing, Wei Wu, Yu Wu, Ming Zhou, Yalou Huang, and Wei-Ying Ma. 2018 · 2018
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Unsupervised discrete sentence representation learning for interpretable neural dialog generation
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Emotional chatting machine: Emotional conversation generation with internal and external memory
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