NLP/ML
Experimenting with GECToR: Research into Ensembling and Knowledge Distillation for Large Sequence Taggers
Experimenting with GECToR: Research into Ensembling and Knowledge Distillation for Large Sequence TaggersGrammatical error correction (GEC) is an important problem in natural language processing (NLP) research. It refers to how we...June 29, 2022
Understanding How Humans Revise: Introducing IteraTeR, A New NLP Dataset for Iterative Text Revision
Understanding How Humans Revise: Introducing IteraTeR, A New NLP Dataset for Iterative Text RevisionThis article was co-written by Applied Research Scientists Vipul Raheja and Dhruv Kumar. A polished piece of writing doesn’t just...June 9, 2022
How Grammarly Uses Natural Language Processing and Machine Learning to Identify the Main Points in a Message
How Grammarly Uses Natural Language Processing and Machine Learning to Identify the Main Points in a MessageWhen you compose an email or document, it can be hard to articulate your thoughts in an organized manner. The most important...September 30, 2021
ATTN: How Grammarly’s NLP/ML Team Figured Out Where Readers Focus in an Email
ATTN: How Grammarly’s NLP/ML Team Figured Out Where Readers Focus in an EmailThis article was co-written by Machine Learning Engineer Karun Singh and Product Manager Dru Knox. How do you know if the main...September 9, 2021
When Less Is More: Text Simplification by Tagging
When Less Is More: Text Simplification by TaggingThis article was co-written by Grammarly Applied Research Scientists Kostiantyn Omelianchuk, Vipul Raheja, and Oleksandr...June 29, 2021
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