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Norm discovery is important for understanding and reasoning about the acceptable behaviors and potential violations in human communication and interactions.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
Earlier work this paper cites.
Social bias frames: Reasoning about social and power implications of language
Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A Smith, and Yejin Choi. 2019a · 1911
Earlier work this paper cites.
Logic and conversation
Herbert P Grice. 1975 · 1975
Earlier work this paper cites.
Linguistic politeness: The implicature approach
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Liberals and conservatives rely on different sets of moral foundations
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Law and social norms , chapter 1-4. Havard University Press
Eric Posner. 2009 · 2009
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An overview of the schwartz theory of basic values
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Cynthia Van Hee, Els Lefever, Ben Verhoeven, Julie Mennes, Bart Desmet, Guy De Pauw, Walter Daelemans, and Veronique Hoste. 2015 · 2015
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Earlier work this paper cites.
An empirical exploration of moral foundations theory in partisan news sources
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Commercial content moderation: Digital laborers’ dirty work
Sarah T Roberts. 2016 · 2016
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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