NLP
Earnings for earrings: mitigating gender bias in autocorrect
Earnings for earrings: mitigating gender bias in autocorrectIf you’ve ever used the spell-checker or autocorrect function in a popular product, you may have been a victim of gender bias in...April 7, 2020
Plainly speaking: a linguistic approach to simplifying complex words
Plainly speaking: a linguistic approach to simplifying complex wordsWould you like to peruse a report on how to elucidate overwrought verbiage? Or maybe you’d like to read an article on how to...February 5, 2020
Under the Hood at Grammarly: Leveraging Transformer Language Models for Grammatical Error Correction
Under the Hood at Grammarly: Leveraging Transformer Language Models for Grammatical Error CorrectionThis post is by Grammarly research scientists Dimitris Alikaniotis and Vipul Raheja. Over the past ten years, Grammarly has...August 7, 2019
Under the Hood at Grammarly: Understanding Conversational Sequences with AI
Under the Hood at Grammarly: Understanding Conversational Sequences with AIThis post was written with Joel Tetreault, the director of research at Grammarly. A majority of our communication now happens...May 30, 2019
Paving the Way for Human-Level Sentence CorrectionsThe original article on which this post is based was co-written with Joel Tetreault and Keisuke Sakaguchi. This post was written...March 31, 2017
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