Active learning approaches for learning regular expressions with genetic programming
Alberto Bartoli, Andrea De Lorenzo, Eric Medvet, Fabiano Tarlao · 2016
We consider the long-standing problem of the automatic generation of regular expressions for text extraction, based solely on examples of the desired behavior. We investigate several active learning approaches in which the user annotates only one desired extraction and then merely answers extraction queries generated by the system.