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Application of Seq2Seq Models on Code Correction

We apply various seq2seq models on programming language correction tasks on Juliet Test Suite for C/C++ and Java of Software Assurance Reference Datasets and achieve 75% (for C/C++) and 56% (for Java) repair rates on these tasks. We introduce pyramid encoder in these seq2seq models, which significan...

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Detalles Bibliográficos
Autores principales:	Huang, Shan, Zhou, Xiao, Chin, Sang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Artificial Intelligence
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017285/ https://www.ncbi.nlm.nih.gov/pubmed/33817628 http://dx.doi.org/10.3389/frai.2021.590215

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