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The task of Question Generation over Knowledge Bases (KBQG) aims to convert a logical form into a natural language question.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
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Algorithm as 136: A k-means clustering algorithm
John A Hartigan and Manchek A Wong. 1979 · 1979
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Semantic parsing on Freebase from question-answer pairs
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Generating factoid questions with recurrent neural networks: The 30M factoid question-answer corpus
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Automatic question generation from children’s stories for companion chatbot
Che-Hao Lee, Tzu-Yu Chen, Liang-Pu Chen, Ping-Che Yang, and Richard Tzong-Han Tsai. 2018 · 2018
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The web as a knowledge-base for answering complex questions
Alon Talmor and Jonathan Berant. 2018a · 2018
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The web as a knowledge-base for answering complex questions
Alon Talmor and Jonathan Berant. 2018b · 2018
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Difficulty-controllable multi-hop question generation from knowledge graphs
Vishwajeet Kumar, Yuncheng Hua, Ganesh Ramakrishnan, Guilin Qi, Lianli Gao, and Yuan-Fang Li. 2019 · 2019
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Personalizing dialogue agents via meta-learning
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Meta-learning for low-resource natural language generation in task-oriented dialogue systems
Fei Mi, Minlie Huang, Jiyong Zhang, and Boi Faltings. 2019 · 2019
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Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Learning to customize model structures for few-shot dialogue generation tasks
Yiping Song, Zequn Liu, Wei Bi, Rui Yan, and Ming Zhang. 2019 · 2019
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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Yongrui Chen, Huiying Li, Yuncheng Hua, and Guilin Qi. 2021 · 2021
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Iterative gnn-based decoder for question generation
Zichu Fei, Qi Zhang, and Yaqian Zhou. 2021 · 2021
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Beyond i.i.d.: Three levels of generalization for question answering on knowledge bases
Yu Gu, Sue Kase, Michelle Vanni, Brian Sadler, Percy Liang, Xifeng Yan, and Yu Su. 2021 · 2021
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JointGT: Graph-text joint representation learning for text generation from knowledge graphs
Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, and Minlie Huang. 2021 · 2021
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Domain adaptive meta-learning for dialogue state tracking
Jiali Zeng, Yongjing Yin, Yang Liu, Yubin Ge, and Jinsong Su. 2021 · 2021
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Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, brian ichter, Fei Xia, Ed H. Chi, Quoc V Le, and Denny Zhou. 2022 · 2022
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Autoqgs: Auto-prompt for low-resource knowledge-based question generation from sparql
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An empirical study of gpt-3 for few-shot knowledge-based vqa
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Enhanced story comprehension for large language models through dynamic document-based knowledge graphs
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DSM: Question generation over knowledge base via modeling diverse subgraphs with meta-learner
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Meta-learning in neural networks: A survey
T. Hospedales, A. Antoniou, P. Micaelli, and A. Storkey. 2022 · 2022
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Knowledge-consistent dialogue generation with knowledge graphs
Minki Kang, Jin Myung Kwak, Jinheon Baek, and Sung Ju Hwang. 2022 · 2022
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Improving meta-learning for low-resource text classification and generation via memory imitation
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An interpretable reasoning network for multi-relation question answering
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Toward subgraph-guided knowledge graph question generation with graph neural networks
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