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Recently, it has been shown that the incorporation of structured knowledge into Large Language Models significantly improves the results for a variety of NLP tasks.
KBQA: learning question answering over QA corpora and knowledge bases
Wanyun Cui, Yanghua Xiao, Haixun Wang, Yangqiu Song, Seung-won Hwang, and Wei Wang. 2019 · 1903
Earlier work this paper cites.
Distilbert, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019 · 1910
Earlier work this paper cites.
Dbpedia: A nucleus for a web of open data
Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives. 2007 · 2007
Earlier work this paper cites.
Wikidata: A free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch. 2014 · 2014
Earlier work this paper cites.
Key-value memory networks for directly reading documents
Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, and Jason Weston. 2016 · 2016
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Question answering benchmarks for wikidata
Dennis Diefenbach, Thomas Pellissier Tanon, Kamal Deep Singh, and Pierre Maret. 2017 · 2017
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Never-ending learning
T. Mitchell, W. Cohen, E. Hruschka, P. Talukdar, B. Yang, J. Betteridge, A. Carlson, B. Dalvi, M. Gardner, B. Kisiel, J. Krishnamurthy, N. Lao, K. Mazaitis, T. Mohamed, N. Nakashole, E. Platanios, A. Ritter, M. Samadi, B. Settles, R. Wang, D. Wijaya, A. Gupta, X. Chen, A. Saparov, M. Greaves, and J. Welling. 2018 · 2018
Earlier work this paper cites.
Diverse beam search: Decoding diverse solutions from neural sequence models
Ashwin K Vijayakumar, Michael Cogswell, Ramprasath R. Selvaraju, Qing Sun, Stefan Lee, David Crandall, and Dhruv Batra. 2018 · 2018
Earlier work this paper cites.
Lc-quad 2.0: A large dataset for complex question answering over wikidata and dbpedia
Mohnish Dubey, Debayan Banerjee, Abdelrahman Abdelkawi, and Jens Lehmann. 2019 · 2019
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PullNet: Open domain question answering with iterative retrieval on knowledge bases and text
Haitian Sun, Tania Bedrax-Weiss, and William Cohen. 2019 · 2019
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Augmentation-based answer type classification of the SMART dataset
Aleksandr Perevalov and Andreas Both. 2020 · 2020
Cited alongside, same era.
How much knowledge can you pack into the parameters of a language model?
Adam Roberts, Colin Raffel, and Noam Shazeer. 2020 · 2020
Cited alongside, same era.
Improving multi-hop question answering over knowledge graphs using knowledge base embeddings
Apoorv Saxena, Aditay Tripathi, and Partha Talukdar. 2020 · 2020
Cited alongside, same era.
Mpnet: Masked and permuted pre-training for language understanding
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu. 2020 · 2020
Cited alongside, same era.
Pretrain-kge: Learning knowledge representation from pretrained language models
Zhiyuan Zhang, Xiaoqian Liu, Yi Zhang, Qi Su, Xu Sun, and Bin He. 2020 · 2020
Cited alongside, same era.
End-to-end entity resolution and question answering using differentiable knowledge graphs
Amir Saffari, Armin Oliya, Priyanka Sen, and Tom Ayoola. 2021 · 2021
Later among the works it cites.
Do transformers really perform badly for graph representation?
Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, and Tie-Yan Liu. 2021 · 2021
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A review of deep learning in question answering over knowledge bases
Chen Zhang, Yuxuan Lai, Yansong Feng, and Dongyan Zhao. 2021 · 2021
Later among the works it cites.
Systematic review of question answering over knowledge bases
Arnaldo Pereira, Alina Trifan, Rui Pedro Lopes, and José Luís Oliveira. 2022 · 2022
Later among the works it cites.
Mintaka: A complex, natural, and multilingual dataset for end-to-end question answering
Priyanka Sen, Alham Fikri Aji, and Amir Saffari. 2022 · 2022
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Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, and Fabio Petroni. 2021 · 2021
Cited alongside, same era.
Introduction to neural network-based question answering over knowledge graphs
Nilesh Chakraborty, Denis Lukovnikov, Gaurav Maheshwari, Priyansh Trivedi, Jens Lehmann, and Asja Fischer. 2021 · 2021
Cited alongside, same era.
A survey on complex knowledge base question answering: Methods, challenges and solutions
Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, and Ji-Rong Wen. 2021 · 2021
Cited alongside, same era.
Rubq 2.0: An innovated russian question answering dataset
Ivan Rybin, Vladislav Korablinov, Pavel Efimov, and Pavel Braslavski. 2021 · 2021
Cited alongside, same era.
Jingchao Wang, Weimin Li, Yixing Guo, and Xiaokang Zhou. 2022 · 2022
Later among the works it cites.
Greaselm: Graph reasoning enhanced language models for question answering
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, and Jure Leskovec. 2022 · 2022
Later among the works it cites.
A system for answering simple questions in multiple languages
Anton Razzhigaev, Mikhail Salnikov, Valentin Malykh, Pavel Braslavski, and Alexander Panchenko. 2023 · 2023
Closest in time.
Hic-kgqa: Improving multi-hop question answering over knowledge graph via hypergraph and inference chain
Jingchao Wang, Weimin Li, Fangfang Liu, Bin Sheng, Wei Liu, and Qun Jin. 2023 · 2023
Closest in time.