Using Decision Trees and Text Mining Techniques for Extending Taxonomies

@inproceedings{Witschel2005UsingDT,
  title={Using Decision Trees and Text Mining Techniques for Extending Taxonomies},
  author={Hans Friedrich Witschel},
  year={2005}
}
Lexical taxonomies have tree-like structures and can thus be extended to become decision trees that serve for their own extension. In this paper, a semi-automatic procedure for extending lexical taxonomies is proposed that makes use of term extraction methods for identifying new concepts and that uses cooccurrence data from large corpora to generate the necessary features (semantic descriptions) of the decision tree’s nodes. 
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Terminologie-extraktion – Möglichkeiten der Kombination statistischer und musterbasierter Verfahren

  • H. Witschel
  • Würzburg: Ergon Verlag
  • 2004
Highly Influential
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Algorithms extracting linguistic relations and their evaluation

  • S. Bordag
  • 2005
2 Excerpts

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