Fetching the paper…
Reading the bibliography…
We introduce Social IQa, the first largescale benchmark for commonsense reasoning about social situations.
Winogrande: An adversarial winograd schema challenge at scale
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. 2019 · 1907
Earlier work this paper cites.
Does the Autistic Child have a “Theory of Mind”?
Simon Baron-Cohen, Alan M Leslie, and Uta Frith. 1985 · 1985
Earlier work this paper cites.
Cyc: A large-scale investment in knowledge infrastructure
Douglas B Lenat. 1995 · 1995
Earlier work this paper cites.
Eventnet: Inferring temporal relations between commonsense events
José H. Espinosa and Henry Lieberman. 2005 · 2005
Earlier work this paper cites.
Intelligent technology for an aging population: The use of ai to assist elders with cognitive impairment
Martha E. Pollack. 2005 · 2005
Earlier work this paper cites.
New effect size rules of thumb
Shlomo S. Sawilowsky. 2009 · 2009
Earlier work this paper cites.
Mindreaders: the cognitive basis of” theory of mind”
Ian Apperly. 2010 · 2010
Earlier work this paper cites.
Theory of mind and neurodevelopmental disorders of childhood
Baris Korkmaz. 2011 · 2011
Earlier work this paper cites.
The winograd schema challenge
Hector J. Levesque. 2011 · 2011
Earlier work this paper cites.
Choice of plausible alternatives: An evaluation of commonsense causal reasoning
Melissa Roemmele, Cosmin Adrian Bejan, and Andrew S. Gordon. 2011 · 2011
Earlier work this paper cites.
UTDHLT: Copacetic system for choosing plausible alternatives
Travis Goodwin, Bryan Rink, Kirk Roberts, and Sanda M Harabagiu. 2012 · 2012
Earlier work this paper cites.
Resolving complex cases of definite pronouns: The winograd schema challenge
Altaf Rahman and Vincent Ng. 2012 · 2012
Earlier work this paper cites.
Representing general relational knowledge in conceptnet 5
Robyn Speer and Catherine Havasi. 2012 · 2012
Earlier work this paper cites.
Reporting bias and knowledge acquisition
Jonathan Gordon and Benjamin Van Durme. 2013 · 2013
Earlier work this paper cites.
The development of commonsense psychology
Chris Moore. 2013 · 2013
Cited alongside, same era.
Commonsense reasoning and commonsense knowledge in artificial intelligence
Ernest Davis and Gary Marcus. 2015 · 2015
Cited alongside, same era.
A Study of Social Intelligence & Academic Achievement of College Students of District Srinagar, J&K, India
MY Ganaie and Hafiz Mudasir. 2015 · 2015
Cited alongside, same era.
Solving hard coreference problems
Haoruo Peng, Daniel Khashabi, and Dan Roth. 2015 · 2015
Cited alongside, same era.
Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan R. Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015 · 2015
Cited alongside, same era.
Commonsense causal reasoning between short texts
Zhiyi Luo, Yuchen Sha, Kenny Q Zhu, Seung-won Hwang, and Zhongyuan Wang. 2016 · 2016
Machine common sense concept paper
David Gunning. 2018 · 2018
Later among the works it cites.
Annotation artifacts in natural language inference data
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, and Noah A. Smith. 2018 · 2018
Later among the works it cites.
Deep learning: A critical appraisal
Gary Marcus. 2018 · 2018
Later among the works it cites.
Obtaining reliable human ratings of valence, arousal, and dominance for 20,000 english words
Saif Mohammad. 2018 · 2018
Later among the works it cites.
Evaluating theory of mind in question answering
Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, and Thomas L. Griffiths. 2018 · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Squad: 100, 000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy S. Liang. 2016 · 2016
Cited alongside, same era.
A Formal Theory of Commonsense Psychology: How People Think People Think
Andrew S Gordon and Jerry R Hobbs. 2017 · 2017
Cited alongside, same era.
Are distributional representations ready for the real world? evaluating word vectors for grounded perceptual meaning
Li Lucy and Jon Gauthier. 2017 · 2017
Cited alongside, same era.
Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017 · 2017
Cited alongside, same era.
Handling multiword expressions in causality estimation
Shota Sasaki, Sho Takase, Naoya Inoue, Naoaki Okazaki, and Kentaro Inui. 2017 · 2017
Cited alongside, same era.
The effect of different writing tasks on linguistic style: A case study of the ROC story cloze task
Roy Schwartz, Maarten Sap, Ioannis Konstas, Li Zilles, Yejin Choi, and Noah A Smith. 2017 · 2017
Cited alongside, same era.
Improving language understanding by generative Pre-Training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
Later among the works it cites.
Know what you don’t know: Unanswerable questions for squad
Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018 · 2018
Later among the works it cites.
Tackling the story ending biases in the story cloze test
Rishi Kant Sharma, James Allen, Omid Bakhshandeh, and Nasrin Mostafazadeh. 2018 · 2018
Later among the works it cites.
SWAG: A large-scale adversarial dataset for grounded commonsense inference
Rowan Zellers, Yonatan Bisk, Roy Schwartz, and Yejin Choi. 2018 · 2018
Later among the works it cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Closest in time.
A surprisingly robust trick for the winograd schema challenge
Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, and Thomas Lukasiewicz. 2019 · 2019
Closest in time.
Sentence encoders on stilts: Supplementary training on intermediate labeled-data tasks
Jason Phang, Thibault Févry, and Samuel R. Bowman. 2019 · 2019
Closest in time.
Atomic: An atlas of machine commonsense for if-then reasoning
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A Smith, and Yejin Choi. 2019 · 2019
Closest in time.
CommonsenseQA: A question answering challenge targeting commonsense knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie, and Jonathan Berant. 2019 · 2019
Closest in time.