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Recent developments in pre-trained neural language modeling have led to leaps in accuracy on commonsense question-answering benchmarks.
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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Winogrande: An adversarial winograd schema challenge at scale
Sakaguchi, K.; Bras, R. L.; Bhagavatula, C.; and Choi, Y. 2019 · 1907
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Abductive commonsense reasoning
Bhagavatula, C.; Bras, R. L.; Malaviya, C.; Sakaguchi, K.; Holtzman, A.; Rashkin, H.; Downey, D.; Yih, S. W.-t.; and Choi, Y. 2019 · 1908
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Ye, Z.-X.; Chen, Q.; Wang, W.; and Ling, Z.-H. 2019 · 1908
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Mitra, A.; Banerjee, P.; Pal, K. K.; Mishra, S.; and Baral, C. 2019 · 1909
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Language models as knowledge bases?
Petroni, F.; Rocktäschel, T.; Lewis, P.; Bakhtin, A.; Wu, Y.; Miller, A. H.; and Riedel, S. 2019 · 1909
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HuggingFace’s Transformers: State-of-the-art Natural Language Processing
Wolf, T.; Debut, L.; Sanh, V.; Chaumond, J.; Delangue, C.; Moi, A.; Cistac, P.; Rault, T.; Louf, R.; Funtowicz, M.; and Brew, J. 2019 · 1910
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Dynamic Knowledge Graph Construction for Zero-shot Commonsense Question Answering
Bosselut, A.; and Choi, Y. 2019 · 1911
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What does my QA model know? devising controlled probes using expert knowledge
Richardson, K.; and Sabharwal, A. 2019 · 1912
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WordNet: A Lexical Database for English
Miller, G. A. 1995 · 1995
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Adversarial Filters of Dataset Biases
Bras, R. L.; Swayamdipta, S.; Bhagavatula, C.; Zellers, R.; Peters, M. E.; Sabharwal, A.; and Choi, Y. 2020 · 2002
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Semantic relations and the lexicon: Antonymy, synonymy and other paradigms
Murphy, M. L. 2003 · 2003
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Content Analysis: An Introduction to Its Methodology (second edition)
Krippendorff, K. 2004 · 2004
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Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation
Reimers, N.; and Gurevych, I. 2020 · 2004
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Unsupervised Commonsense Question Answering with Self-Talk
Shwartz, V.; West, P.; Bras, R. L.; Bhagavatula, C.; and Choi, Y. 2020 · 2004
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G-DAUG: Generative Data Augmentation for Commonsense Reasoning
Yang, Y.; Malaviya, C.; Fernandez, J.; Swayamdipta, S.; Bras, R. L.; Wang, J.; Bhagavatula, C.; Choi, Y.; and Downey, D. 2020 · 2004
Cited alongside, same era.
Self-supervised Knowledge Triplet Learning for Zero-shot Question Answering
Banerjee, P.; and Baral, C. 2020 · 2005
Cited alongside, same era.
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction
Niu, Y.; Jiao, F.; Zhou, M.; Yao, T.; Xu, J.; and Huang, M. 2020 · 2005
Cited alongside, same era.
Consolidating Commonsense Knowledge
Ilievski, F.; Szekely, P.; Cheng, J.; Zhang, F.; and Qasemi, E. 2020 · 2006
Cited alongside, same era.
Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge
Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering
Ma, K.; Francis, J.; Lu, Q.; Nyberg, E.; and Oltramari, A. 2019 · 2019
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Knowledge Enhanced Contextual Word Representations
Peters, M. E.; Neumann, M.; Logan, R.; Schwartz, R.; Joshi, V.; Singh, S.; and Smith, N. A. 2019 · 2019
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Language Models are Unsupervised Multitask Learners
Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; and Sutskever, I. 2019 · 2019
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CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Talmor, A.; Herzig, J.; Lourie, N.; and Berant, J. 2019 · 2019
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Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-Task Learning
Xia, J.; Wu, C.; and Yan, M. 2019 · 2019
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HellaSwag: Can a Machine Really Finish Your Sentence?
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Talmor, A.; Tafjord, O.; Clark, P.; Goldberg, Y.; and Berant, J. 2020 · 2006
Cited alongside, same era.
SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning
Gordon, A.; Kozareva, Z.; and Roemmele, M. 2012 · 2012
Cited alongside, same era.
Wikidata: a free collaborative knowledgebase
Vrandečić, D.; and Krötzsch, M. 2014 · 2014
Cited alongside, same era.
A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories
Mostafazadeh, N.; Chambers, N.; He, X.; Parikh, D.; Batra, D.; Vanderwende, L.; Kohli, P.; and Allen, J. 2016 · 2016
Cited alongside, same era.
Squad: 100,000+ questions for machine comprehension of text
Rajpurkar, P.; Zhang, J.; Lopyrev, K.; and Liang, P. 2016 · 2016
Cited alongside, same era.
Visual genome: Connecting language and vision using crowdsourced dense image annotations
Krishna, R.; Zhu, Y.; Groth, O.; Johnson, J.; Hata, K.; Kravitz, J.; Chen, S.; Kalantidis, Y.; Li, L.-J.; Shamma, D. A.; et al. 2017 · 2017
Cited alongside, same era.
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
Speer, R.; Chin, J.; and Havasi, C. 2017 · 2017
Cited alongside, same era.
Commonsense for Generative Multi-Hop Question Answering Tasks
Bauer, L.; Wang, Y.; and Bansal, M. 2018 · 2018
Cited alongside, same era.
Zellers, R.; Holtzman, A.; Bisk, Y.; Farhadi, A.; and Choi, Y. 2019 · 2019
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ERNIE: Enhanced Language Representation with Informative Entities
Zhang, Z.; Han, X.; Liu, Z.; Jiang, X.; Sun, M.; and Liu, Q. 2019 · 2019
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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 · 2019
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PIQA: Reasoning about Physical Commonsense in Natural Language
Bisk, Y.; Zellers, R.; Bras, R. L.; Gao, J.; and Choi, Y. 2020 · 2020
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SenseBERT: Driving Some Sense into BERT
Levine, Y.; Lenz, B.; Dagan, O.; Ram, O.; Padnos, D.; Sharir, O.; Shalev-Shwartz, S.; Shashua, A.; and Shoham, Y. 2020 · 2020
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Harvesting and Refining Question-Answer Pairs for Unsupervised QA
Li, Z.; Wang, W.; Dong, L.; Wei, F.; and Xu, K. 2020 · 2020
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K-BERT: Enabling Language Representation with Knowledge Graph
Liu, W.; Zhou, P.; Zhao, Z.; Wang, Z.; Ju, Q.; Deng, H.; and Wang, P. 2020 · 2020
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Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning
Tamborrino, A.; Pellicanò, N.; Pannier, B.; Voitot, P.; and Naudin, L. 2020 · 2020
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Evaluating Commonsense in Pre-trained Language Models
Zhou, X.; Zhang, Y.; Cui, L.; and Huang, D. 2020 · 2020
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