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The growth of social media has encouraged the written use of African American Vernacular English (AAVE), which has traditionally been used only in oral contexts.
African American English: A Linguistic Introduction
Lisa Green. 2002 · 2002
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Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013 · 2013
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Now we stronger than ever: African-American English syntax in twitter
Ian Stewart. 2014 · 2014
Earlier work this paper cites.
Vader: A parsimonious rule-based model for sentiment analysis of social media text
C.J. Hutto and Eric Gilbert. 2015 · 2015
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Toward a description of african american vernacular english dialect regions using “black twitter”
Taylor Jones. 2015 · 2015
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Demographic dialectal variation in social media: A case study of African-American English
Su Lin Blodgett, Lisa Green, and Brendan O’Connor. 2016 · 2016
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Learning a POS tagger for AAVE-like language
Anna Jørgensen, Dirk Hovy, and Anders Søgaard. 2016 · 2016
Cited alongside, same era.
Word translation without parallel data
Guillaume Lample, Alexis Conneau, Marc’Aurelio Ranzato, Ludovic Denoyer, and Herv Jgou. 2018 · 2018
Cited alongside, same era.
Darling or babygirl? Investigating stylistic bias in sentiment analysis
J. H. Shen, L. Fratamico, I. Rahwan, and A. M. Rush. 2018 · 2018
Cited alongside, same era.
Dialect-specific models for automatic speech recognition of African American vernacular English
Rachel Dorn. 2019 · 2019
Cited alongside, same era.
GLTR: Statistical detection and visualization of generated text
Sebastian Gehrmann, Hendrik Strobelt, and Alexander Rush. 2019 · 2019
Cited alongside, same era.
Testifying while black: An experimental study of court reporter accuracy in transcription of african american english
Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019 · 2019
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The risk of racial bias in hate speech detection
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, and Noah A. Smith. 2019 · 2019
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The woman worked as a babysitter: On biases in language generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng. 2019 · 2019
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Release strategies and the social impacts of language models
Irene Solaiman, Miles Brundage, Jack Clark, Amanda Askell, Ariel Herbert-Voss, Jeff Wu, Alec Radford, Gretchen Krueger, Jong Wook Kim, Sarah Kreps, Miles McCain, Alex Newhouse, Jason Blazakis, Kris McGuffie, and Jasmine Wang. 2019 · 2019
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Taylor Jones, Jessica Rose Kalbfeld, Ryan Hancock, and Ryan Clark. 2019 · 2019
Cited alongside, same era.
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Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2019 · 2019
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