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Comparative knowledge (e.g., steel is stronger and heavier than styrofoam) is an essential component of our world knowledge, yet understudied in prior literature.
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
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Generation that exploits corpus-based statistical knowledge
Irene Langkilde and Kevin Knight. 1998 · 1998
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SPoT: A trainable sentence planner
Marilyn A. Walker, Owen Rambow, and Monica Rogati. 2001 · 2001
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Mining comparative sentences and relations
Nitin Jindal and B. Liu. 2006 · 2006
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Extracting comparative commonsense from the web
Yanan Cao, Cungen Cao, Liangjun Zang, Shi Wang, and Dongsheng Wang. 2010 · 2010
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How do they compare? automatic identification of comparable entities on the web
Alpa Jain and Patrick Pantel. 2011 · 2011
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The Winograd schema challenge
Hector J Levesque, Ernest Davis, and Leora Morgenstern. 2011 · 2011
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Generics as reflecting conceptual knowledge
James A Hampton. 2012 · 2012
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Predictive mining of comparable entities from the web
Myungha Jang, Jin-Woo Park, and Seung won Hwang. 2012 · 2012
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Surfaces and Essence: : Analogy as the Fuel and Fire of Thinking
Douglas Hofstadter and Emmanuel Sander. 2013 · 2013
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Is a 204 cm man tall or small ? acquisition of numerical common sense from the web
Katsuma Narisawa, Yotaro Watanabe, Junta Mizuno, Naoaki Okazaki, and Kentaro Inui. 2013 · 2013
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Acquiring comparative commonsense knowledge from the web
Niket Tandon, Gerard de Melo, and Gerhard Weikum. 2014 · 2014
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Wikidata: a free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch. 2014 · 2014
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Corpus-based discovery of semantic intensity scales
Chaitanya Shivade, Marie-Catherine de Marneffe, Eric Fosler-Lussier, and Albert M. Lai. 2015 · 2015
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Are elephants bigger than butterflies? reasoning about sizes of objects
Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, and Ali Farhadi. 2016 · 2016
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Verb physics: Relative physical knowledge of actions and objects
Maxwell Forbes and Yejin Choi. 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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Webchild 2.0: Fine-grained commonsense knowledge distillation
Niket Tandon, Gerard De Melo, and Gerhard Weikum. 2017 · 2017
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Robust handling of polysemy via sparse representations
Abhijit Mahabal, Dan Roth, and Sid Mittal. 2018 · 2018
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FVQA: Fact-Based Visual Question Answering
Peng Wang, Qi Wu, Chunhua Shen, Anthony Dick, and Anton van den Hengel. 2018 · 2018
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Texygen: A benchmarking platform for text generation models
Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, and Yong Yu. 2018 · 2018
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How Large Are Lions? Inducing Distributions over Quantitative Attributes
Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, and Dan Roth. 2019 · 2019
Symbolic knowledge distillation: from general language models to commonsense models
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, and Yejin Choi. 2021 · 2021
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A review on language models as knowledge bases
Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, Mona Diab, and Marjan Ghazvininejad. 2022 · 2022
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Penguins don’t fly: Reasoning about generics through instantiations and exceptions
Emily Allaway, Jena D Hwang, Chandra Bhagavatula, Kathleen McKeown, Doug Downey, and Yejin Choi. 2022 · 2022
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I2d2: Inductive knowledge distillation with neurologic and self-imitation
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, and Yejin Choi. 2022 · 2022
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Cited alongside, same era.
Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, and Alexander Miller. 2019 · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
A. Radford, Jeffrey Wu, R. Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Cited alongside, same era.
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
Cited alongside, same era.
What makes a good conversation? how controllable attributes affect human judgments
Abigail See, Stephen Roller, Douwe Kiela, and Jason Weston. 2019 · 2019
Cited alongside, same era.
Towards Controllable Biases in Language Generation
Emily Sheng, Kai-Wei Chang, Prem Natarajan, and Nanyun Peng. 2020 · 2020
Cited alongside, same era.
Aser: A large-scale eventuality knowledge graph
Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, and Cane Wing-Ki Leung. 2020 · 2020
Cited alongside, same era.
FLUTE: Figurative language understanding through textual explanations
Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, and Smaranda Muresan. 2022 · 2022
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Bertnet: Harvesting knowledge graphs from pretrained language models
Shibo Hao, Bowen Tan, Kaiwen Tang, Hengzhe Zhang, Eric P Xing, and Zhiting Hu. 2022 · 2022
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Neurocounterfactuals: Beyond minimal-edit counterfactuals for richer data augmentation
Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, and Swabha Swayamdipta. 2022 · 2022
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Survey of hallucination in natural language generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Yejin Bang, Andrea Madotto, and Pascale Fung. 2022 · 2022
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WANLI: Worker and AI collaboration for natural language inference dataset creation
Alisa Liu, Swabha Swayamdipta, Noah A. Smith, and Yejin Choi. 2022 · 2022
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Copen: Probing conceptual knowledge in pre-trained language models
Hao Peng, Xiaozhi Wang, Shengding Hu, Hailong Jin, Lei Hou, Juanzi Li, Zhiyuan Liu, and Qun Liu. 2022 · 2022
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2022 · 2022
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Benchmarks for automated commonsense reasoning: A survey
Ernest Davis. 2023 · 2023
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Neuroprompts: An adaptive framework to optimize prompts for text-to-image generation
Shachar Rosenman, Vasudev Lal, and Phillip Howard. 2023 · 2023
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Self-instruct: Aligning language models with self-generated instructions
Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, and Hannaneh Hajishirzi. 2023 · 2023
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Pre-training language models for comparative reasoning
Mengxia Yu, Zhihan Zhang, Wenhao Yu, and Meng Jiang. 2023 · 2023
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