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Recent years have brought about a renewed interest in commonsense representation and reasoning in the field of natural language understanding.
Commonsense properties from query logs and question answering forums
Romero, J.; Razniewski, S.; Pal, K.; Z. Pan, J.; Sakhadeo, A.; and Weikum, G. 2019 · 1905
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SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Wang, A.; Pruksachatkun, Y.; Nangia, N.; Singh, A.; Michael, J.; Hill, F.; Levy, O.; and Bowman, S. R. 2019 · 1905
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Raffel, C.; Shazeer, N.; Roberts, A.; Lee, K.; Narang, S.; Matena, M.; Zhou, Y.; Li, W.; and Liu, P. J. 2019 · 1910
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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.; Davison, J.; Shleifer, S.; von Platen, P.; Ma, C.; Jernite, Y.; Plu, J.; Xu, C.; Scao, T. L.; Gugger, S.; Drame, M.; Lhoest, Q.; and Rush, A. M. 2019 · 1910
Earlier work this paper cites.
Measuring nominal scale agreement among many raters
Fleiss, J. L. 1971 · 1971
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Force Dynamics in Language and Cognition
Talmy, L. 1988 · 1988
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Spatial language and spatial cognition
Landau, B.; and Jackendoff, R. 1991 · 1991
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Discourse relations and defeasible knowledge
Lascarides, A.; and Asher, N. 1991 · 1991
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CYC: A large-scale investment in knowledge infrastructure
Lenat, D. B. 1995 · 1995
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WordNet: A Lexical Database for English
Miller, G. A. 1995 · 1995
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BLEU: a method for automatic evaluation of machine translation
Papineni, K.; Roukos, S.; Ward, T.; and Zhu, W.-J. 2002 · 2002
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ROUGE: A Package for Automatic Evaluation of Summaries
Lin, C.-Y. 2004 · 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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Language Models are Few-Shot Learners
Brown, T.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; Agarwal, S.; Herbert-Voss, A.; Krüger, G.; Henighan, T.; Child, R.; Ramesh, A.; Ziegler, D.; Wu, J.; Winter, C.; Hesse, C.; Chen, M.; Sigler, E.; Litwin, M.; Gray, S.; Chess, B.; Clark, J.; Berner, C.; McCandlish, S.; Radford, A.; Sutskever, I.; and Amodei, D. 2020 · 2005
Earlier work this paper cites.
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering
Feng, Y.; Chen, X.; Lin, B. Y.; Wang, P.; Yan, J.; and Ren, X. 2020 · 2005
Cited alongside, same era.
DBpedia: A Nucleus for a Web of Open Data
Auer, S.; Bizer, C.; Kobilarov, G.; Lehmann, J.; Cyganiak, R.; and Ives, Z. G. 2007 · 2007
Cited alongside, same era.
Automated Storytelling via Causal, Commonsense Plot Ordering
Ammanabrolu, P.; Cheung, W.; Broniec, W.; and Riedl, M. 2020 · 2009
Cited alongside, same era.
Language and Spatial Cognition: An Interdisciplinary Study of the Prepositions in English
Herskovits, A. 2009 · 2009
Cited alongside, same era.
Reporting bias and knowledge acquisition
Gordon, J.; and Van Durme, B. 2013 · 2013
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.
Language Models as Knowledge Bases?
Petroni, F.; Rocktäschel, T.; Lewis, P.; Bakhtin, A.; Wu, Y.; Miller, A. H.; and Riedel, S. 2019 · 2019
Later among the works it cites.
Language models are unsupervised multitask learners
Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; and Sutskever, I. 2019 · 2019
Later among the works it cites.
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning
Sap, M.; Le Bras, R.; Allaway, E.; Bhagavatula, C.; Lourie, N.; Rashkin, H.; Roof, B.; Smith, N. A.; and Choi, Y. 2019 · 2019
Later among the works it cites.
HellaSwag: Can a Machine Really Finish Your Sentence?
Zellers, R.; Holtzman, A.; Bisk, Y.; Farhadi, A.; and Choi, Y. 2019 · 2019
Later among the works it cites.
PIQA: Reasoning about Physical Commonsense in Natural Language
Bisk, Y.; Zellers, R.; Le Bras, R.; Gao, J.; and Choi, Y. 2020 · 2020
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Commonsense Reasoning and Commonsense Knowledge in Artificial Intelligence
Davis, E.; and Marcus, G. 2015 · 2015
Cited alongside, same era.
Cider: Consensus-based image description evaluation
Vedantam, R.; Lawrence Zitnick, C.; and Parikh, D. 2015 · 2015
Cited alongside, same era.
Commonsense Knowledge Base Completion
Li, X.; Taheri, A.; Tu, L.; and Gimpel, K. 2016 · 2016
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.
Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
Cited alongside, same era.
Improving language understanding by generative pre-training URL https://s3-us-west-2.amazonaws.com/openai-assets/research-covers/language-unsupervised/language˙understanding˙paper.pdf
Radford, A.; Narasimhan, K.; Salimans, T.; and Sutskever, I. 2018 · 2018
Cited alongside, same era.
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
Bosselut, A.; Rashkin, H.; Sap, M.; Malaviya, C.; Çelikyilmaz, A.; and Choi, Y. 2019 · 2019
Cited alongside, same era.
Closest in time.
Rˆ3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge
Chakrabarty, T.; Ghosh, D.; Muresan, S.; and Peng, N. 2020 · 2020
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A Wizard-of-Oz Interface and Persona-based Methodology for Collecting Health Counseling Dialog
Kearns, W. R.; Kaura, N.; Divina, M.; Vo, C. V.; Si, D.; Ward, T. M.; and Yuwen, W. 2020 · 2020
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Lewis, M.; Liu, Y.; Goyal, N.; Ghazvininejad, M.; Mohamed, A.; Levy, O.; Stoyanov, V.; and Zettlemoyer, L. 2020 · 2020
Closest in time.
Commonsense Evidence Generation and Injection in Reading Comprehension
Liu, Y.; Yang, T.; You, Z.; Fan, W.; and Yu, P. S. 2020 · 2020
Closest in time.
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Roberts, A.; Raffel, C.; and Shazeer, N. 2020 · 2020
Closest in time.
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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BERTScore: Evaluating Text Generation with BERT
Zhang, T.; Kishore, V.; Wu, F.; Weinberger, K.; and Artzi, Y. 2020b · 2020
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