A Mutually Beneficial Integration of Data Mining and Information Extraction

@inproceedings{Nahm2000AMB,
  title={A Mutually Beneficial Integration of Data Mining and Information Extraction},
  author={Un Yong Nahm and Raymond J. Mooney},
  booktitle={AAAI/IAAI},
  year={2000}
}
Text miningconcerns applying data mining techniques to unstructured text.Information extraction(IE) is a form of shallow text understanding that locates specific pieces of data in natural language documents, transforming unstructured text into a structured database. This paper describes a system called DISCOTEX, that combines IE and data mining methodologies to perform text mining as well as improve the performance of the underlying extraction system. Rules mined from a database extracted from… CONTINUE READING
Highly Cited
This paper has 110 citations. REVIEW CITATIONS

5 Figures & Tables

Topics

Statistics

051015'01'03'05'07'09'11'13'15'17
Citations per Year

110 Citations

Semantic Scholar estimates that this publication has 110 citations based on the available data.

See our FAQ for additional information.