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

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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

Stefan Raeymaekers, Maurice Bruynooghe, Jan Van de

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ECML 2005 | Information Extraction | K | Tree Languages |

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Added	27 Jun 2010
Updated	27 Jun 2010
Type	Conference
Year	2005
Where	ECML
Authors	Stefan Raeymaekers, Maurice Bruynooghe, Jan Van den Bussche

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

ECML 2005 | Information Extraction | K | Tree Languages |

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