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When answering a question, people often draw upon their rich world knowledge in addition to the particular context.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Liu, Y.; Ott, M.; Goyal, N.; Du, J.; Joshi, M.; Chen, D.; Levy, O.; Lewis, M.; Zettlemoyer, L.; and Stoyanov, V. 2019 · 1907
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Ye, Z.-X.; Chen, Q.; Wang, W.; and Ling, Z.-H. 2019 · 1908
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A desicion-theoretic generalization of on-line learning and an application to boosting
Freund, Y.; and Schapire, R. E. 1995 · 1995
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Improving Question Answering by Commonsense-Based Pre-training
Zhong, W.; Tang, D.; Duan, N.; Zhou, M.; Wang, J.; and Yin, J. 2019 · 2012
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MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text
Richardson, M.; Burges, C. J.; and Renshaw, E. 2013 · 2013
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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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Adam: A Method for Stochastic Optimization
Kingma, D. P.; and Ba, J. L. 2015 · 2015
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Never-Ending Learning
Mitchell, T.; Cohen, W.; Hruschka, E.; Talukdar, P.; Betteridge, J.; Carlson, A.; Dalvi, B.; Gardner, M.; Kisiel, B.; Krishnamurthy, J.; Lao, N.; Mazaitis, K.; Mohamed, T.; Nakashole, N.; Platanios, E.; Ritter, A.; Samadi, M.; Settles, B.; Wang, R.; Wijaya, D.; Gupta, A.; Chen, X.; Saparov, A.; Greaves, M.; and Welling, J. 2015 · 2015
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End-To-End Memory Networks
Sukhbaatar, S.; Szlam, A.; Weston, J.; and Fergus, R. 2015 · 2015
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Memory Networks
Weston, J.; Chopra, S.; and Bordes, A. 2015 · 2015
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A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
Chen, D.; Bolton, J.; and Manning, C. D. 2016 · 2016
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Semi-Supervised Classification with Graph Convolutional Networks
Kipf, T. N.; and Welling, M. 2016 · 2016
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Key-Value Memory Networks for Directly Reading Documents
Miller, A. H.; Fisch, A.; Dodge, J.; Karimi, A.-H.; Bordes, A.; and Weston, J. 2016 · 2016
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A Decomposable Attention Model for Natural Language Inference
Parikh, A. P.; Tackstrom, O.; Das, D.; and Uszkoreit, J. 2016 · 2016
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Squad: 100,000+ questions for machine comprehension of text
Rajpurkar, P.; Zhang, J.; Lopyrev, K.; and Liang, P. 2016 · 2016
Cited alongside, same era.
Newsqa: A machine comprehension dataset
Trischler, A.; Wang, T.; Yuan, X.; Harris, J.; Sordoni, A.; Bachman, P.; and Suleman, K. 2016 · 2016
Cited alongside, same era.
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
Weston, J.; Bordes, A.; Chopra, S.; Rush, A. M.; van Merriënboer, B.; Joulin, A.; and Mikolov, T. 2016 · 2016
Cited alongside, same era.
Gated-Attention Readers for Text Comprehension
Dhingra, B.; Liu, H.; Yang, Z.; Cohen, W. W.; and Salakhutdinov, R. 2017 · 2017
Cited alongside, same era.
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Lai, G.; Xie, Q.; Liu, H.; Yang, Y.; and Hovy, E. H. 2017 · 2017
Cited alongside, same era.
Bag: Bi-directional attention entity graph convolutional network for multi-hop reasoning question answering
Cao, Y.; Fang, M.; and Tao, D. 2019 · 2019
Later among the works it cites.
Multi-Task Multi-Head Attention Memory Network for Fine-Grained Sentiment Analysis
Dai, Z.; Dai, W.; Liu, Z.; Rao, F.; Chen, H.; Zhang, G.; Ding, Y.; and Liu, J. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
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Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning
Huang, L.; Bras, R. L.; Bhagavatula, C.; and Choi, Y. 2019 · 2019
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Natural Questions: A Benchmark for Question Answering Research
Kwiatkowski, T.; Palomaki, J.; Redfield, O.; Collins, M.; Parikh, A. P.; Alberti, C.; Epstein, D.; Polosukhin, I.; Devlin, J.; Lee, K.; Toutanova, K.; Jones, L.; Kelcey, M.; Chang, M.-W.; Dai, A. M.; Uszkoreit, J.; Le, Q.; and Petrov, S. 2019 · 2019
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ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
Speer, R.; Chin, J.; and Havasi, C. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Łukasz Kaiser; and Polosukhin, I. 2017 · 2017
Cited alongside, same era.
Graph Attention Networks
Veličković, P.; Cucurull, G.; Casanova, A.; Romero, A.; Liò, P.; and Bengio, Y. 2017 · 2017
Cited alongside, same era.
Improving language understanding with unsupervised learning
Radford, A.; Narasimhan, K.; Salimans, T.; and Sutskever, I. 2018 · 2018
Cited alongside, same era.
Know What You Don’t Know: Unanswerable Questions for SQuAD
Rajpurkar, P.; Jia, R.; and Liang, P. 2018 · 2018
Cited alongside, same era.
A Simple Method for Commonsense Reasoning
Trinh, T. H.; and Le, Q. V. 2018 · 2018
Cited alongside, same era.
Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension
Wang, L.; Sun, M.; Zhao, W.; Shen, K.; and Liu, J. 2018a · 2018
Cited alongside, same era.
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning
Lin, B. Y.; Chen, X.; Chen, J.; and Ren, X. 2019 · 2019
Later among the works it cites.
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Rajani, N. F.; McCann, B.; Xiong, C.; and Socher, R. 2019 · 2019
Later among the works it cites.
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning
Sap, M.; Bras, R. L.; Allaway, E.; Rashkin, H.; Bhagavatula, C.; Lourie, N.; Roof, B.; Smith, N.; and Choi, Y. 2019 · 2019
Later among the works it cites.
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Talmor, A.; Herzig, J.; Lourie, N.; and Berant, J. 2019 · 2019
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WIQA: A dataset for “What if…” reasoning over procedural text
Tandon, N.; Dalvi, B.; Sakaguchi, K.; Clark, P.; and Bosselut, A. 2019 · 2019
Later among the works it cites.
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
Lv, S.; Guo, D.; Xu, J.; Tang, D.; Duan, N.; Gong, M.; Shou, L.; Jiang, D.; Cao, G.; and Hu, S. 2020 · 2020
Closest in time.
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
Xu, Y.; Fang, M.; Chen, L.; Du, Y.; Zhou, J. T.; and Zhang., C. 2020 · 2020
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DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension
Zhang, S.; Zhao, H.; Wu, Y.; Zhang, Z.; Zhou, X.; and Zhou, X. 2020 · 2020
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Show, attend and tell: Neural image caption generation with visual attention
Xu, K.; Ba, J.; Kiros, R.; Cho, K.; Courville, A.; Salakhudinov, R.; Zemel, R.; and Bengio, Y. 2015 · 2057
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