Abstract This paper introduces a novel method for learning a wrapper for extraction of information from web pages, based upon (k, l)-contextual tree languages. It also introduces a method to learn good values of k and l based on a few positive and negative examples. Finally, it describes how the algorithm can be integrated in a tool for information extraction.
Raeymaekers et al. propose learning of (k, l)-contextual tree languages to infer queries for web wrappers REF .
Learning (k,l)-contextual tree languages for information extraction from web pages
Machine Learning
Machine Learning
Computer Science