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Wikipedia-Based Document Categorization

  • Krzysztof Ciesielski
  • Piotr Borkowski
  • Mieczysław A. Kłopotek
  • Krzysztof Trojanowski
  • Kamil Wysocki
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7053)

Abstract

A novel method of text categorization for Polish language documents, based on Polish Wikipedia resources is presented. The distinctive feature of the approach is that document labelling can be performed with no additional categorized corpora. Experiments with two different types of document semantic disambiguation have been performed, and evaluated according to the several quality metrics.

Keywords

Latent Semantic Analysis Nonnegative Matrix Factorization Document Categorization Ambiguous Term Anchor Text 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Coursey, K., Mihalcea, R.: Topic identification using Wikipedia graph centrality. In: NAACL 2009: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers, pp. 117–120. Association for Computational Linguistics, Morristown (2009), http://portal.acm.org/citation.cfm?id=1620887 Google Scholar
  2. 2.
    Medelyan, O., Witten, I.H., Milne, D.: Topic indexing with wikipedia. In: Proceedings of the First AAAI Workshop on Wikipedia and Artificial Intelligence, WIKIAI 2008 (2008)Google Scholar
  3. 3.
    Mihalcea, R., Csomai, A.: Wikify!: linking documents to encyclopedic knowledge. In: Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, CIKM 2007, Lisbon, Portugal, November 6-10, pp. 233–242. ACM (2007)Google Scholar
  4. 4.
    Milne, D., Witten, I.H.: An effective, low-cost measure of semantic relatedness obtained from wikipedia links. In: Proceedings of the First AAAI Workshop on Wikipedia and Artificial Intelligence, WIKIAI 2008 (2008)Google Scholar
  5. 5.
    Milne, D.N., Witten, I.H.: Learning to link with wikipedia. In: Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, CA, USA, October 26-30, pp. 509–518. ACM (2008)Google Scholar
  6. 6.
    Pirrò, G., Seco, N.: Design, implementation and evaluation of a new semantic similarity metric combining features and intrinsic information content. In: Chung, S. (ed.) OTM 2008, Part II. LNCS, vol. 5332, pp. 1271–1288. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  7. 7.
    Seppänen, J.K., Bingham, E., Mannila, H.: A simple algorithm for topic identification in 0–1 data. In: Lavrač, N., Gamberger, D., Todorovski, L., Blockeel, H. (eds.) PKDD 2003. LNCS (LNAI), vol. 2838, pp. 423–434. Springer, Heidelberg (2003)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Krzysztof Ciesielski
    • 1
  • Piotr Borkowski
    • 1
  • Mieczysław A. Kłopotek
    • 1
  • Krzysztof Trojanowski
    • 1
  • Kamil Wysocki
    • 1
  1. 1.Institute of Computer SciencePolish Academy of SciencesWarszawaPoland

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