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Generating natural and informative texts has been a long-standing problem in NLP.
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A survey of knowledge-enhanced text generation
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Sequence to sequence learning with neural networks
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Neural machine translation by jointly learning to align and translate
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Neural responding machine for short-text conversation
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A neural network approach to context-sensitive generation of conversational responses
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Building end-to-end dialogue systems using generative hierarchical neural network models
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Learning to ask: Neural question generation for reading comprehension
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A hierarchical latent variable encoder-decoder model for generating dialogues
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, and Yoshua Bengio. 2017 · 2017
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Conceptnet 5.5: An open multilingual graph of general knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Learning discourse-level diversity for neural dialog models using conditional variational autoencoders
Tiancheng Zhao, Ran Zhao, and Maxine Eskénazi. 2017 · 2017
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A retrieve-and-edit framework for predicting structured outputs
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Next-generation of virtual personal assistants (microsoft cortana, apple siri, amazon alexa and google home)
Veton Kepuska and Gamal Bohouta. 2018 · 2018
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A syntactically constrained bidirectional-asynchronous approach for emotional conversation generation
Jingyuan Li and Xiao Sun. 2018 · 2018
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Personalizing dialogue agents: I have a dog, do you have pets too?
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Generating responses with a specific emotion in dialog
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Response generation by context-aware prototype editing
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Language models are few-shot learners
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Reinforcement learning based graph-to-sequence model for natural question generation
Yu Chen, Lingfei Wu, and Mohammed J. Zaki. 2020 · 2020
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Retrieval augmented language model pre-training
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Ming-Wei Chang. 2020 · 2020
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Dense passage retrieval for open-domain question answering
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Commonsense knowledge aware conversation generation with graph attention
Hao Zhou, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu, and Xiaoyan Zhu. 2018b · 2018
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A dataset for document grounded conversations
Kangyan Zhou, Shrimai Prabhumoye, and Alan W. Black. 2018c · 2018
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User experience comparison of intelligent personal assistants: Alexa, google assistant, siri and cortana
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Mixture content selection for diverse sequence generation
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BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
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Retrieval-augmented generation for knowledge-intensive NLP tasks
Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2020b · 2020
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A retrieve-and-rewrite initialization method for unsupervised machine translation
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Diversify question generation with continuous content selectors and question type modeling
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Transformers: State-of-the-art natural language processing
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DIALOGPT : Large-scale generative pre-training for conversational response generation
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Low-resource knowledge-grounded dialogue generation
Xueliang Zhao, Wei Wu, Chongyang Tao, Can Xu, Dongyan Zhao, and Rui Yan. 2020 · 2020
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A pre-training based personalized dialogue generation model with persona-sparse data
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The design and implementation of xiaoice, an empathetic social chatbot
Li Zhou, Jianfeng Gao, Di Li, and Heung-Yeung Shum. 2020 · 2020
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The GEM benchmark: Natural language generation, its evaluation and metrics
Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, et al. 2021 · 2021
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Kg-bart: Knowledge graph-augmented bart for generative commonsense reasoning
Ye Liu, Yao Wan, Lifang He, Hao Peng, and Philip S Yu. 2021 · 2021
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Chao-Hong Tan, Xiaoyu Yang, Zi’ou Zheng, Tianda Li, Yufei Feng, Jia-Chen Gu, Quan Liu, Dan Liu, Zhen-Hua Ling, and Xiaodan Zhu. 2021 · 2021
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