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Humans can seamlessly reason with circumstantial preconditions of commonsense knowledge.
UNIFIEDQA: Crossing format boundaries with a single QA system
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Where is the information for affordances?
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Towards a human-like open-domain chatbot
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Joint reasoning for multi-faceted commonsense knowledge
Yohan Chalier, Simon Razniewski, and Gerhard Weikum. 2020 · 2001
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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An outline of a theory of affordances
Anthony Chemero. 2003 · 2003
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Toward a useful concept of causality for lexical semantics
Jerry R Hobbs. 2005 · 2005
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Deberta: Decoding-enhanced bert with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2020 · 2006
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Consolidating commonsense knowledge
Filip Ilievski, Pedro Szekely, Jingwei Cheng, Fu Zhang, and Ehsan Qasemi. 2020a · 2006
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Natural language processing with Python: analyzing text with the natural language toolkit
Steven Bird, Ewan Klein, and Edward Loper. 2009 · 2009
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Comet-atomic 2020: On symbolic and neural commonsense knowledge graphs
Jena D Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, and Yejin Choi. 2020 · 2010
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Scikit-learn: Machine learning in Python
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Amazon mechanical turk: A research tool for organizations and information systems scholars
Kevin Crowston. 2012 · 2012
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Rica: Evaluating robust inference capabilities based on commonsense axioms
Pei Zhou, Rahul Khanna, Bill Yuchen Lin, Daniel Ho, Jay Pujara, and Xiang Ren. 2020 · 2012
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A corpus and cloze evaluation for deeper understanding of commonsense stories
Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, and James Allen. 2016 · 2016
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A decomposable attention model for natural language inference
Ankur Parikh, Oscar Täckström, Dipanjan Das, and Jakob Uszkoreit. 2016 · 2016
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Superglue: A stickier benchmark for general-purpose language understanding systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. 2019 · 2019
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Abductive commonsense reasoning
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, and Yejin Choi. 2020 · 2020
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Inducing relational knowledge from BERT
Zied Bouraoui, José Camacho-Collados, and Steven Schockaert. 2020 · 2020
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Adversarial filters of dataset biases
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, and Yejin Choi. 2020 · 2020
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MOCHA: A dataset for training and evaluating generative reading comprehension metrics
Anthony Chen, Gabriel Stanovsky, Sameer Singh, and Matt Gardner. 2020 · 2020
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Context-aware representations for knowledge base relation extraction
Daniil Sorokin and Iryna Gurevych. 2017 · 2017
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Conceptnet 5.5: An open multilingual graph of general knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi. 2017 · 2017
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AllenNLP: A deep semantic natural language processing platform
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew Peters, Michael Schmitz, and Luke Zettlemoyer. 2018 · 2018
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Annotation artifacts in natural language inference data
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel Bowman, and Noah A. Smith. 2018 · 2018
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A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018 · 2018
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Augmenting end-to-end dialogue systems with commonsense knowledge
Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, and Minlie Huang. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, and Xiang Ren. 2020 · 2020
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Causenet: Towards a causality graph extracted from the web
Stefan Heindorf, Yan Scholten, Henning Wachsmuth, Axel-Cyrille Ngonga Ngomo, and Martin Potthast. 2020 · 2020
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Modeling preconditions in text with a crowd-sourced dataset
Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh, Gargi Sawhney, Anmol Shukla, Keerthi Kumar Kallur, Nathanael Chambers, and Niranjan Balasubramanian. 2020 · 2020
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GLUCOSE: GeneraLized and COntextualized story explanations
Nasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, David Buchanan, Lauren Berkowitz, Or Biran, and Jennifer Chu-Carroll. 2020 · 2020
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Thinking like a skeptic: Defeasible inference in natural language
Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, and Yejin Choi. 2020 · 2020
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Winogrande: An adversarial winograd schema challenge at scale
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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ASER: A large-scale eventuality knowledge graph
Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, and Cane Wing-Ki Leung. 2020a · 2020
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Reasoning about goals, steps, and temporal ordering with WikiHow
Li Zhang, Qing Lyu, and Chris Callison-Burch. 2020b · 2020
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Dimensions of commonsense knowledge
Filip Ilievski, Alessandro Oltramari, Kaixin Ma, Bin Zhang, Deborah L McGuinness, and Pedro Szekely. 2021 · 2021
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Lawyers are dishonest? quantifying representational harms in commonsense knowledge resources
Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, and Aram Galstyan. 2021 · 2021
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Advanced semantics for commonsense knowledge extraction
Tuan-Phong Nguyen, Simon Razniewski, and Gerhard Weikum. 2021 · 2021
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