Xiang Qi

Revisiting Regex Generation for Modeling Industrial Applications by Incorporating Byte Pair Encoder

2020 · arXiv (Cornell University)

Regular expression is important for many natural language processing tasks especially when used to deal with unstructured and semi-structured data. This work focuses on automatically generating regular expressions and proposes a novel genetic algorithm to …