no code implementations • 20 May 2022 • Su-Hyeon Kim, Hyunjoon Cheon, Yo-Sub Han, Sang-Ki Ko
We tackle the problem of learning regexes faster from positive and negative strings by relying on a novel approach called `neural example splitting'.
no code implementations • 29 Sep 2021 • Su-Hyeon Kim, Hyunjoon Cheon, Yo-Sub Han, Sang-Ki Ko
SplitRegex is a divided-and-conquer framework for learning target regexes; split (=divide) positive strings and infer partial regexes for multiple parts, which is much more accurate than the whole string inferring, and concatenate (=conquer) inferred regexes while satisfying negative strings.
