A Hybrid Machine Learning Approach for Information Extraction from Free Text

Günter Neumann. A Hybrid Machine Learning Approach for Information Extraction from Free Text. In Myra Spiliopoulou, Rudolf Kruse, Christian Borgelt, Andreas Nürnberger, Wolfgang Gaul, editors, From Data and Information Analysis to Knowledge Engineering, Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005. Studies in Classification, Data Analysis, and Knowledge Organization, pages 390-397, Springer, 2005. [doi]

@inproceedings{Neumann05-1,
  title = {A Hybrid Machine Learning Approach for Information Extraction from Free Text},
  author = {Günter Neumann},
  year = {2005},
  doi = {10.1007/3-540-31314-1_47},
  url = {http://dx.doi.org/10.1007/3-540-31314-1_47},
  tags = {machine learning, systematic-approach},
  researchr = {https://researchr.org/publication/Neumann05-1},
  cites = {0},
  citedby = {0},
  pages = {390-397},
  booktitle = {From Data and Information Analysis to Knowledge Engineering, Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005},
  editor = {Myra Spiliopoulou and Rudolf Kruse and Christian Borgelt and Andreas Nürnberger and Wolfgang Gaul},
  series = {Studies in Classification, Data Analysis, and Knowledge Organization},
  publisher = {Springer},
  isbn = {978-3-540-31313-7},
}