Learning (k, l)-Contextual Tree Languages for Information Extraction

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. Keywords Information extraction · Wrapper induction · Tree languages

• Type: Conference
• Year: 2005
• Where: ECML
• Authors: Stefan Raeymaekers, Maurice Bruynooghe, Jan Van den Bussche
• Keywords: ECML 2005, Information Extraction, K, Tree Languages