ML Anthology

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

Stefan Raeymaekers, Maurice Bruynooghe, Jan Van den Bussche
ECML-PKDD 2005 pp. 305-316
doi:10.1007/11564096_31 /ecmlpkdd/2005/raeymaekers2005ecml-learning/

Abstract

This paper introduces a novel method for learning a wrapper for extraction of text nodes 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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Cite

Text

Raeymaekers et al. "Learning (k, L)-Contextual Tree Languages for Information Extraction." European Conference on Machine Learning, 2005. doi:10.1007/11564096_31

Markdown

[Raeymaekers et al. "Learning (k, L)-Contextual Tree Languages for Information Extraction." European Conference on Machine Learning, 2005.](https://mlanthology.org/ecmlpkdd/2005/raeymaekers2005ecml-learning/) doi:10.1007/11564096_31

BibTeX

@inproceedings{raeymaekers2005ecml-learning,
  title     = {{Learning (k, L)-Contextual Tree Languages for Information Extraction}},
  author    = {Raeymaekers, Stefan and Bruynooghe, Maurice and Van den Bussche, Jan},
  booktitle = {European Conference on Machine Learning},
  year      = {2005},
  pages     = {305-316},
  doi       = {10.1007/11564096_31},
  url       = {https://mlanthology.org/ecmlpkdd/2005/raeymaekers2005ecml-learning/}
}