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WEBSOM Method - Word Categories in Czech Written Documents

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Text, Speech and Dialogue (TSD 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5729))

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Abstract

We applied well-known WEBSOM method (based on two layer architecture) to categorization of Czech written documents. Our research was focused on the syntactic and semantic relationship within word categories of word category map (WCM). The document classification system was tested on a subset of 100 documents (manual work was necessary) from the corpus of Czech News Agency documents. The result confirmed that WEBSOM method could be hardly evaluated because humans have problems with natural language semantics and determination of semantic domains from word categories.

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References

  1. Semantic Web, http://www.w3.org/2001/sw

  2. Manning, C.D., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Preliminary draft. Cambridge University Press, Cambridge (2007)

    Google Scholar 

  3. Kohonen, T.: Self-Organizing map. Springer, Heidelberg (2001)

    Book  Google Scholar 

  4. Fausset, L.V.: Fundamentals of neural networks. Prentice Hall, Engelwood Cliffs (1994)

    Google Scholar 

  5. Kaski, S., Honkela, T., Lagus, K., Kohonen, T.: WEBSOM – Self-Organizing Maps of Document Collections. Neurocomputer, 101–117 (1998)

    Google Scholar 

  6. Ritter, H., Kohonen, T.: Self-organizing semantic maps. Biological Cybernetics 61, 241–254 (1989)

    Article  Google Scholar 

  7. Kohonen, T., Hynninen, J., Kangas, J., Laaksonen, J.: SOM-PAK, The self-organizing map program package (1996)

    Google Scholar 

  8. Vesanto, J., Himberg, J., Alhoniemi, E., Parhankangas, J.: SOM Toolbox for Matlab (2000)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Mouček, R., Mautner, P. (2009). WEBSOM Method - Word Categories in Czech Written Documents. In: Matoušek, V., Mautner, P. (eds) Text, Speech and Dialogue. TSD 2009. Lecture Notes in Computer Science(), vol 5729. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04208-9_15

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  • DOI: https://doi.org/10.1007/978-3-642-04208-9_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04207-2

  • Online ISBN: 978-3-642-04208-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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