ML Anthology

Learning ( K , L )-Contextual Tree Languages for Information Extraction from Web Pages

Stefan Raeymaekers, Maurice Bruynooghe, Jan Van den Bussche
MLJ 2008 pp. 155-183
doi:10.1007/S10994-008-5049-7 /mlj/2008/raeymaekers2008mlj-learning/

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.

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Text

Raeymaekers et al. "Learning ( K , L )-Contextual Tree Languages for Information Extraction from Web Pages." Machine Learning, 2008. doi:10.1007/S10994-008-5049-7

Markdown

[Raeymaekers et al. "Learning ( K , L )-Contextual Tree Languages for Information Extraction from Web Pages." Machine Learning, 2008.](https://mlanthology.org/mlj/2008/raeymaekers2008mlj-learning/) doi:10.1007/S10994-008-5049-7

BibTeX

@article{raeymaekers2008mlj-learning,
  title     = {{Learning ( K , L )-Contextual Tree Languages for Information Extraction from Web Pages}},
  author    = {Raeymaekers, Stefan and Bruynooghe, Maurice and Van den Bussche, Jan},
  journal   = {Machine Learning},
  year      = {2008},
  pages     = {155-183},
  doi       = {10.1007/S10994-008-5049-7},
  volume    = {71},
  url       = {https://mlanthology.org/mlj/2008/raeymaekers2008mlj-learning/}
}