Fetching the paper…
Reading the bibliography…
Given questions regarding some prototypical situation such as Name something that people usually do before they leave the house for work? a human can easily answer them via acquired experiences.
The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Maxwell Forbes, and Yejin Choi. 2019 · 1904
Earlier work this paper cites.
Quizbowl: The case for incremental question answering
Pedro Rodriguez, Shi Feng, Mohit Iyyer, He He, and Jordan Boyd-Graber. 2019 · 1904
Earlier work this paper cites.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019a · 1904
Earlier work this paper cites.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
Earlier work this paper cites.
Abductive commonsense reasoning
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, and Yejin Choi. 2019 · 1908
Earlier work this paper cites.
Learning the difference that makes a difference with counterfactually-augmented data
Divyansh Kaushik, Eduard Hovy, and Zachary C Lipton. 2019 · 1909
Earlier work this paper cites.
Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, R’emi Louf, Morgan Funtowicz, and Jamie Brew. 2019 · 1910
Earlier work this paper cites.
Piqa: Reasoning about physical commonsense in natural language
Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, and Yejin Choi. 2019 · 1911
Earlier work this paper cites.
Task-oriented dialog systems that consider multiple appropriate responses under the same context
Yichi Zhang, Zhijian Ou, and Zhou Yu. 2019b · 1911
Earlier work this paper cites.
The hungarian method for the assignment problem
Harold W Kuhn. 1955 · 1955
Earlier work this paper cites.
Algorithms for the assignment and transportation problems
James Munkres. 1957 · 1957
Earlier work this paper cites.
Scripts, plans, and knowledge
Roger C Schank and Robert P Abelson. 1975 · 1975
Earlier work this paper cites.
Frame semantics and the nature of language
Charles J Fillmore et al. 1976 · 1976
Earlier work this paper cites.
Scripts, plans, goals, and understanding : An inquiry into human knowledge structures
Roger C Schank and Robert P Abelson. 1977 · 1977
Earlier work this paper cites.
Wordnet: a lexical database for english
George A Miller. 1995 · 1995
Earlier work this paper cites.
Gaussian processes for regression
Christopher KI Williams and Carl Edward Rasmussen. 1996 · 1996
Earlier work this paper cites.
Evaluation challenges in large-scale document summarization
Dragomir R Radev, Simone Teufel, Horacio Saggion, Wai Lam, John Blitzer, Hong Qi, Arda Celebi, Danyu Liu, and Elliott Drabek. 2003 · 2003
Earlier work this paper cites.
Bleurt: Learning robust metrics for text generation
Thibault Sellam, Dipanjan Das, and Ankur P Parikh. 2020 · 2004
Earlier work this paper cites.
Causal inference of script knowledge
Noah Weber, Rachel Rudinger, and Benjamin Van Durme. 2020 · 2004
Earlier work this paper cites.
Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
Cited alongside, same era.
Verbosity: a game for collecting common-sense facts
Luis Von Ahn, Mihir Kedia, and Manuel Blum. 2006 · 2006
Cited alongside, same era.
Common consensus: a web-based game for collecting commonsense goals
Henry Lieberman and et al. 2007 · 2007
Cited alongside, same era.
Unsupervised learning of narrative schemas and their participants
Nathanael Chambers and Dan Jurafsky. 2009 · 2009
Cited alongside, same era.
The meteor metric for automatic evaluation of machine translation
Alon Lavie and Michael J Denkowski. 2009 · 2009
Cited alongside, same era.
Findings of the 2010 joint workshop on statistical machine translation and metrics for machine translation
Chris Callison-Burch, Philipp Koehn, Christof Monz, Kay Peterson, Mark Przybocki, and Omar Zaidan. 2010 · 2010
A systematic classification of knowledge, reasoning, and context within the arc dataset
Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, et al. 2018 · 2018
Later among the works it cites.
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, and Kate Crawford. 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.
Hypothesis only baselines in natural language inference
Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, and Benjamin Van Durme. 2018 · 2018
Later among the works it cites.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Types of common-sense knowledge needed for recognizing textual entailment
Peter LoBue and Alexander Yates. 2011 · 2011
Cited alongside, same era.
Blanc: Implementing the rand index for coreference evaluation
Marta Recasens and Eduard Hovy. 2011 · 2011
Cited alongside, same era.
Choice of plausible alternatives: An evaluation of commonsense causal reasoning
Melissa Roemmele, Cosmin Adrian Bejan, and Andrew S Gordon. 2011 · 2011
Cited alongside, same era.
The winograd schema challenge
Hector Levesque, Ernest Davis, and Leora Morgenstern. 2012 · 2012
Cited alongside, same era.
Reporting bias and knowledge acquisition
Jonathan Gordon and Benjamin Van Durme. 2013 · 2013
Cited alongside, same era.
An extension of blanc to system mentions
Xiaoqiang Luo, Sameer Pradhan, Marta Recasens, and Eduard Hovy. 2014 · 2014
Cited alongside, same era.
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
Later among the works it cites.
Cosmos QA: Machine reading comprehension with contextual commonsense reasoning
Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. 2019 · 2019
Later among the works it cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Later among the works it cites.
The woman worked as a babysitter: On biases in language generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng. 2019 · 2019
Later among the works it cites.
Commonsenseqa: A question answering challenge targeting commonsense knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie, and Jonathan Berant. 2019 · 2019
Later among the works it cites.
Improving natural language inference using external knowledge in the science questions domain
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, et al. 2019 · 2019
Later among the works it cites.
Hellaswag: Can a machine really finish your sentence?
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, and Yejin Choi. 2019 · 2019
Later among the works it cites.
Improving question answering by commonsense-based pre-training
Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, and Jian Yin. 2019 · 2019
Later among the works it cites.
Pre-training is (almost) all you need: An application to commonsense reasoning
Alexandre Tamborrino, Nicola Pellicano, Baptiste Pannier, Pascal Voitot, and Louise Naudin. 2020 · 2020
Closest in time.
On the existence of tacit assumptions in contextualized language models
Nathaniel Weir, Adam Poliak, and Benjamin Van Durme. 2020 · 2020
Closest in time.
Diverse and informative dialogue generation with context-specific commonsense knowledge awareness
Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, and Zhonghai Wu. 2020 · 2020
Closest in time.
Grounded conversation generation as guided traverses in commonsense knowledge graphs
Houyu Zhang, Zhenghao Liu, Chenyan Xiong, and Zhiyuan Liu. 2020 · 2020
Closest in time.