Learning from Uncurated Regular Expressions for Semantic Type Classification
Michael J. Mior · 2023
Significant work has been done on learning regular expressions from a set of data values. Depending on the domain, this approach can be very successful. However, significant time is required to learn these expressions and the resulting expressions can become either very complex or inaccurate in the presence of dirty data. The alternative of manually writing regular expressions becomes unattractive when faced with a large number of values that must be matched.