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Dialogue systems can leverage large pre-trained language models and knowledge to generate fluent and informative responses.
Language models are few-shot learners
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Recipes for safety in open-domain chatbots
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Limitations of deep neural networks: a discussion of g. marcus’ critical appraisal of deep learning
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Translating embeddings for modeling multi-relational data
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Knowledge graph embedding by translating on hyperplanes
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Embedding entities and relations for learning and inference in knowledge bases
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Attention is all you need
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Openke: An open toolkit for knowledge embedding
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Simple embedding for link prediction in knowledge graphs
Seyed Mehran Kazemi and David Poole. 2018 · 2018
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Multi-relational question answering from narratives: Machine reading and reasoning in simulated worlds
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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. 2018 · 2018
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FLAIR: An easy-to-use framework for state-of-the-art NLP
Alan Akbik, Tanja Bergmann, Duncan Blythe, Kashif Rasul, Stefan Schweter, and Roland Vollgraf. 2019 · 2019
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Knowledge aware conversation generation with explainable reasoning over augmented graphs
Zhibin Liu, Zheng-Yu Niu, Hua Wu, and Haifeng Wang. 2019 · 2019
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Barack’s wife hillary: Using knowledge graphs for fact-aware language modeling
Robert Logan, Nelson F. Liu, Matthew E. Peters, Matt Gardner, and Sameer Singh. 2019 · 2019
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Opendialkg: Explainable conversational reasoning with attention-based walks over knowledge graphs
Seungwhan Moon, Pararth Shah, Anuj Kumar, and Rajen Subba. 2019 · 2019
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Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, and Alexander Miller. 2019 · 2019
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Language models are unsupervised multitask learners
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Sentence-bert: Sentence embeddings using siamese bert-networks
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Rotate: Knowledge graph embedding by relational rotation in complex space
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DyKgChat: Benchmarking dialogue generation grounding on dynamic knowledge graphs
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Ernie: Enhanced language representation with informative entities
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Language (technology) is power: A critical survey of “bias” in NLP
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Plug and play language models: A simple approach to controlled text generation
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Improving factual consistency of abstractive summarization via question answering
Feng Nan, Cicero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O Arnold, and Bing Xiang. 2021 · 2021
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Increasing faithfulness in knowledge-grounded dialogue with controllable features
Hannah Rashkin, David Reitter, Gaurav Singh Tomar, and Dipanjan Das. 2021 · 2021
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Recipes for building an open-domain chatbot
Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Eric Michael Smith, Y-Lan Boureau, et al. 2021 · 2021
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Questeval: Summarization asks for fact-based evaluation
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Retrieval augmentation reduces hallucination in conversation
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AMUSED: A multi-stream vector representation method for use in natural dialogue
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Knowledge bridging for empathetic dialogue generation
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Exploring the limits of transfer learning with a unified text-to-text transformer
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A controllable model of grounded response generation
Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, et al. 2021 · 2021
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Complex embeddings for simple link prediction
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