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In the past years, Knowledge-Based Question Answering (KBQA), which aims to answer natural language questions using facts in a knowledge base, has been well developed.
Incremental learning from stream data
He, H.; Chen, S.; Li, K.; and Xu, X. 2011 · 1914
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Catastrophic interference in connectionist networks: The sequential learning problem
McCloskey, M.; and Cohen, N. J. 1989 · 1989
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Least squares support vector machine classifiers
Suykens, J. A.; and Vandewalle, J. 1999 · 1999
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Incremental and decremental support vector machine learning
Cauwenberghs, G.; and Poggio, T. 2001 · 2001
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The APVA-TURBO approach to question answering in knowledge base
Wang, Y.; Zhang, R.; Xu, C.; and Mao, Y. 2018 · 2009
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icarl: Incremental classifier and representation learning
Rebuffi, S.-A.; Kolesnikov, A.; Sperl, G.; and Lampert, C. H. 2017 · 2010
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Large-scale semantic parsing without question-answer pairs
Reddy, S.; Lapata, M.; and Steedman, M. 2014 · 2014
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Semantic parsing for single-relation question answering
Yih, W.-t.; He, X.; and Meek, C. 2014 · 2014
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Large-scale simple question answering with memory networks
Bordes, A.; Usunier, N.; Chopra, S.; and Weston, J. 2015 · 2015
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Question answering over freebase with multi-column convolutional neural networks
Dong, L.; Wei, F.; Zhou, M.; and Xu, K. 2015 · 2015
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Distilling the knowledge in a neural network
Hinton, G.; Vinyals, O.; and Dean, J. 2015 · 2015
Cited alongside, same era.
CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases
Dai, Z.; Li, L.; and Xu, W. 2016 · 2016
Cited alongside, same era.
Character-Level Question Answering with Attention
He, X.; and Golub, D. 2016 · 2016
Cited alongside, same era.
Simple Question Answering by Attentive Convolutional Neural Network
Yin, W.; Yu, M.; Xiang, B.; Zhou, B.; and Schütze, H. 2016 · 2016
Cited alongside, same era.
Question answering over knowledge base with neural attention combining global knowledge information
Zhang, Y.; Liu, K.; He, S.; Ji, G.; Liu, Z.; Wu, H.; and Zhao, J. 2016 · 2016
Cited alongside, same era.
Pattern-revising enhanced simple question answering over knowledge bases
Hao, Y.; Liu, H.; He, S.; Liu, K.; and Zhao, J. 2018 · 2018
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Multi-Hop Knowledge Graph Reasoning with Reward Shaping
Lin, X. V.; Socher, R.; and Xiong, C. 2018 · 2018
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Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks
Mohammed, S.; Shi, P.; and Lin, J. 2018 · 2018
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Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model
Xu, K.; Wu, L.; Wang, Z.; Yu, M.; Chen, L.; and Sheinin, V. 2018 · 2018
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Variational reasoning for question answering with knowledge graph
Zhang, Y.; Dai, H.; Kozareva, Z.; Smola, A. J.; and Song, L. 2018 · 2018
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Merging weighted SVMs for parallel incremental learning
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Integrating subject, type, and property identification for simple question answering over knowledge base
Hsiao, W.-C.; Huang, H.-H.; and Chen, H.-H. 2017 · 2017
Cited alongside, same era.
Continual learning with deep generative replay
Shin, H.; Lee, J. K.; Kim, J.; and Kim, J. 2017 · 2017
Cited alongside, same era.
Know-evolve: deep temporal reasoning for dynamic knowledge graphs
Trivedi, R.; Dai, H.; Wang, Y.; and Song, L. 2017 · 2017
Cited alongside, same era.
End-to-end incremental learning
Castro, F. M.; Marín-Jiménez, M. J.; Guil, N.; Schmid, C.; and Alahari, K. 2018 · 2018
Cited alongside, same era.
Learning Sequence Encoders for Temporal Knowledge Graph Completion
Garcia-Duran, A.; Dumančić, S.; and Niepert, M. 2018 · 2018
Cited alongside, same era.
Zhu, L.; Ikeda, K.; Pang, S.; Ban, T.; and Sarrafzadeh, A. 2018 · 2018
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Incremental Learning from Scratch for Task-Oriented Dialogue Systems
Wang, W.; Zhang, J.; Li, Q.; Hwang, M.-Y.; Zong, C.; and Li, Z. 2019 · 2019
Later among the works it cites.
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
Wu, P.; Huang, S.; Weng, R.; Zheng, Z.; Zhang, J.; Yan, X.; and Chen, J. 2019 · 2019
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Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Liu, Y.; Su, Y.; Liu, A.-A.; Schiele, B.; and Sun, Q. 2020 · 2020
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Learn#: A Novel Incremental Learning Method for Text Classification
Shan, G.; Xu, S.; Yang, L.; Jia, S.; and Xiang, Y. 2020 · 2020
Later among the works it cites.