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In recent years, the generation of conversation content based on deep neural networks has attracted many researchers.
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Liu, C.; Lowe, R.; Serban, I.; Noseworthy, M.; Charlin, L.; and Pineau, J, How NOT to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation , Empirical Methods in Natural Language Processing, 2016
2016
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2016
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2016
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Liu, Y. Huang, M. Zhou and W.-Y. Ma, Topic Aware Neural Response Generation , Association for the Advance of Artificial Intelligence, 2017
2017
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H.Zhou, M.Huang, T.Zhang, X.Zhu and B.Liu, Emotional chatting machine: Emotional conversation generation with internal and external memory , Association for the Advance of Artificial Intelligence, 2017
2017
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Mahipal Jadeja, Neelanshi Varia and Agam Shah, Deep Reinforcement Learning for Conversational AI , International Conference on Theory of Information Retrieval, 2017
2017
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Gaurav Pandey, Danish Contractor, Vineet Kumar and Sachindra Joshi, Exemplar Encoder-Decoder for Neural Conversation Generation , Association for the Advance of Artificial Intelligence, 2018
2018
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Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren and Percy Liang, Generating Sentences by Editing Prototypes , Association for Computational Linguistics, 2018
2018
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Ke Wang and Xiaojun Wan, SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks , International Joint Conference on Artificial Intelligence, 2018
2018
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Shuman Liu, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu and Dawei Yin, Knowledge Diffusion for Neural Dialogue Generation , Association for the Advance of Artificial Intelligence, 2018
2018
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2018
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Yu Zhang and Qiang Yang, A Survey on Multi-Task Learning , arXiv:1707.08114, 2018
2018
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