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English Natural Language Understanding (NLU) systems have achieved great performances and even outperformed humans on benchmarks like GLUE and SuperGLUE.
Language in the inner city: Studies in the Black English vernacular
William Labov. 1972 · 1972
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Participatory design: Principles and practices
Douglas Schuler and Aki Namioka. 1993 · 1993
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The case of the missing copula: The interpretation of zeros in african-american english
William Labov. 1995 · 1995
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What we talk about when we talk about ebonics: Why definitions matter
Rosina Lippi-Green. 1997 · 1997
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Co-existent systems in african-american vernacular english
William Labov et al. 1998 · 1998
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The sentence in african-american vernacular english
Stefan Martin, Walt Wolfram, et al. 1998 · 1998
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African-american language use: Ideology and so-called obscenity
Arthur K Spears et al. 1998 · 1998
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Syntactic variation and linguistic competence: The case of AAVE copula absence
Emily M Bender. 2000 · 2000
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African American English: a linguistic introduction
Lisa J Green. 2002 · 2002
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How linguists approach the study of language and dialect
John R Rickford. 2002 · 2002
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Identity and interaction: A sociocultural linguistic approach
Mary Bucholtz and Kira Hall. 2005 · 2005
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Automatically constructing a corpus of sentential paraphrases
William B. Dolan and Chris Brockett. 2005 · 2005
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Appropriation of african american slang by asian american youth 1
Angela Reyes. 2005 · 2005
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Style: Language variation and identity
Nikolas Coupland. 2007 · 2007
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Vagueness and grammar: The semantics of relative and absolute gradable adjectives
Christopher Kennedy. 2007 · 2007
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Indian english: Syntax
Rakesh M Bhatt. 2008 · 2008
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An aae camouflage construction
Chris Collins, Simanique Moody, and Paul M Postal. 2008 · 2008
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Singapore english: morphology and syntax
Lionel Wee. 2008 · 2008
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African american vernacular english (aave) grammar. 1.7
Jack Sidnell. 2002 · 2009
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Game done changed: A look at selected aave features in the tv series the wire
Joe Trotta and Oleg Blyahher. 2011 · 2011
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The syntax of spoken Indian English , volume 45
Claudia Lange. 2012 · 2012
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Distributed representations of words and phrases and their compositionality
Tomás Mikolov, Ilya Sutskever, Kai Chen, Gregory S. Corrado, and Jeffrey Dean. 2013 · 2013
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Now we stronger than ever: African-American English syntax in Twitter
Ian Stewart. 2014 · 2014
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A report on the DSL shared task 2014
Marcos Zampieri, Liling Tan, Nikola Ljubešić, and Jörg Tiedemann. 2014 · 2014
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A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
Cited alongside, same era.
American English: dialects and variation
Walt Wolfram and Natalie Schilling. 2015 · 2015
Cited alongside, same era.
Demographic dialectal variation in social media: A case study of African-American English
Su Lin Blodgett, Lisa Green, and Brendan O’Connor. 2016 · 2016
Cited alongside, same era.
Man is to computer programmer as woman is to homemaker? debiasing word embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, and Adam Tauman Kalai. 2016 · 2016
Cited alongside, same era.
The social impact of natural language processing
Dirk Hovy and Shannon L. Spruit. 2016 · 2016
Cited alongside, same era.
Learning a POS tagger for AAVE-like language
Anna Jørgensen, Dirk Hovy, and Anders Søgaard. 2016 · 2016
Dialect-specific models for automatic speech recognition of African American Vernacular English
Rachel Dorn. 2019 · 2019
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Multiple-attribute text rewriting
Guillaume Lample, Sandeep Subramanian, Eric Michael Smith, Ludovic Denoyer, Marc’Aurelio Ranzato, and Y-Lan Boureau. 2019 · 2019
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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 · 2019
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Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference
Tom McCoy, Ellie Pavlick, and Tal Linzen. 2019 · 2019
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CoQA: A conversational question answering challenge
Siva Reddy, Danqi Chen, and Christopher D. Manning. 2019 · 2019
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Cited alongside, same era.
Computational sociolinguistics: A survey
Dong Nguyen, A Seza Doğruöz, Carolyn P Rosé, and Franciska De Jong. 2016 · 2016
Cited alongside, same era.
SQuAD: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
Raciolinguistics: How language shapes our ideas about race
John R Rickford. 2016 · 2016
Cited alongside, same era.
Language and linguistics on trial: Hearing rachel jeantel (and other vernacular speakers) in the courtroom and beyond
John R Rickford and Sharese King. 2016 · 2016
Cited alongside, same era.
The morpho-syntax of aspectual stay in aave
Deanna Thompson. 2016 · 2016
Cited alongside, same era.
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis and Tommi Jaakkola. 2017 · 2017
Cited alongside, same era.
GLUE: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. 2019 · 2019
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Neural network acceptability judgments
Alex Warstadt, Amanpreet Singh, and Samuel R. Bowman. 2019 · 2019
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PAWS: Paraphrase adversaries from word scrambling
Yuan Zhang, Jason Baldridge, and Luheng He. 2019 · 2019
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Evaluating models’ local decision boundaries via contrast sets
Matt Gardner, Yoav Artzi, Victoria Basmov, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, and Ben Zhou. 2020 · 2020
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Investigating African-American Vernacular English in transformer-based text generation
Sophie Groenwold, Lily Ou, Aesha Parekh, Samhita Honnavalli, Sharon Levy, Diba Mirza, and William Yang Wang. 2020 · 2020
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“sassy queens”: Stylistic orthographic variation in twitter and the enregisterment of aave
Christian Ilbury. 2020 · 2020
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Robust encodings: A framework for combating adversarial typos
Erik Jones, Robin Jia, Aditi Raghunathan, and Percy Liang. 2020 · 2020
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Learning the difference that makes A difference with counterfactually-augmented data
Divyansh Kaushik, Eduard H. Hovy, and Zachary Chase Lipton. 2020 · 2020
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Racial disparities in automated speech recognition
Allison Koenecke, Andrew Nam, Emily Lake, Joe Nudell, Minnie Quartey, Zion Mengesha, Connor Toups, John R Rickford, Dan Jurafsky, and Sharad Goel. 2020 · 2020
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Reformulating unsupervised style transfer as paraphrase generation
Kalpesh Krishna, John Wieting, and Mohit Iyyer. 2020 · 2020
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Adversarial NLI: A new benchmark for natural language understanding
Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, and Douwe Kiela. 2020 · 2020
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Fuzze: Fuzzy fairness evaluation of offensive language classifiers on african-american english
Anthony Rios. 2020 · 2020
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It’s morphin’ time! Combating linguistic discrimination with inflectional perturbations
Samson Tan, Shafiq Joty, Min-Yen Kan, and Richard Socher. 2020 · 2020
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Learning to recognize dialect features
Dorottya Demszky, Devyani Sharma, Jonathan Clark, Vinodkumar Prabhakaran, and Jacob Eisenstein. 2021a · 2021
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Learning to recognize dialect features
Dorottya Demszky, Devyani Sharma, Jonathan Clark, Vinodkumar Prabhakaran, and Jacob Eisenstein. 2021b · 2021
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Mitigating racial biases in toxic language detection with an equity-based ensemble framework
Matan Halevy, Camille Harris, Amy Bruckman, Diyi Yang, and Ayanna Howard. 2021 · 2021
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Prefix-tuning: Optimizing continuous prompts for generation
Xiang Lisa Li and Percy Liang. 2021 · 2021
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Adversarial examples for evaluating reading comprehension systems
Robin Jia and Percy Liang. 2017 · 2031
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