54 citations · 65 across the 4 of their papers we have counts for
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cs.SE2020★ 1 cited
A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code
Nadezhda Chirkova, Sergey Troshin
There is an emerging interest in the application of natural language processing models to source code processing tasks. One of the major problems in applying deep learning to softw…
cs.LG2020★ 54 cited
Empirical Study of Transformers for Source Code
Nadezhda Chirkova, Sergey Troshin
Initially developed for natural language processing (NLP), Transformers are now widely used for source code processing, due to the format similarity between source code and text. I…