јнализ текстовых документов



              

Ћитература


  1. Clauset, A.; Newman, M. E. J.; and Moore, C. 2004. Finding community structure in very large networks. Physical Review E 70:066111.
  2. Dakka, W., and Ipeirotis, P. G. 2008. Automatic extraction of useful facet hierarchies from text databases. In ICDE, 466Ц475. IEEE.
  3. de Solla Price, D. J. 1965. Networks of scientific papers. Science 169:510Ц515.
  4. Gabrilovich, E., and Markovitch, S. 2007. Computing semantic relatedness using wikipedia-based explicit semantic analysis. In Proceedings of The Twentieth International Joint Conference for Artificial Intelligence, 1606Ц1611.
  5. Janik, M., and Kochut, K. J. 2008. Wikipedia in action: Ontological knowledge in text categorization. International Conference on Semantic Computing, 268Ц275.
  6. Kauffman, S. A. 1969. Metabolic stability and epigenesist in randomly constructed genetic nets. J Theor Biol 22(3):437Ц467.
  7. Manning, C. D., and Schtze, H. 1999. Foundations of Statistical Natural Language Processing. The MIT Press.
  8. Medelyan, O.; Witten, I. H.; and Milne, D. 2008. Topic indexing with wikipedia. In Wikipedia and AI workshop at the AAAI-08 Conference (WikiAI08).
  9. Mihalcea, R., and Csomai, A. 2007. Wikify!: linking documents to encyclopedic knowledge. In CIKM Т07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, 233Ц242. New York, NY, USA: ACM.
  10. Mihalcea, R. 2005. Unsupervised large-vocabulary word sense disambiguation with graph-based algorithms for sequence data labeling. In HLT Т05: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, 411Ц418. Morristown, NJ, USA: Association for Computational Linguistics.
  11. Mihalcea, R. 2007. Using wikipedia for automatic word sense disambiguation.
  12. Miller, G. A.; Fellbaum, C.; Tengi, R.; Wakefield, P.; Langone, H.; and Haskell, B. R. Wordnet: a lexical database for the english language. .
  13. Milne, D., and Witten, I. 2008. An effective, low-cost measure of semantic relatedness obtained from wikipedia links.


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