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2014 | 2 | 261--268
Tytuł artykułu

Extracting Semantic Prototypes and Factual Information from a Large Scale Corpus Using Variable Size Window Topic Modelling

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper a model of textual events composed of a mixture of semantic stereotypes and factual information is proposed. A method is introduced that enables distinguishing automatically semantic prototypes of a general nature describing general categories of events from factual elements specific to a given event. Next, this paper presents the results of an experiment of unsupervised topic extraction performed on documents from a large-scale corpus with an additional temporal structure. This experiment was realized as a comparison of the nature of information provided by Latent Dirichlet Allocation and Vector Space modelling based on Log-Entropy weights. The impact of using different time windows of the corpus on the results of topic modelling is presented. Finally, a discussion is suggested on the issue if unsupervised topic modelling may reflect deeper semantic information, such as elements describing a given event or its causes and results, and discern it from pure factual data.(original abstract)
Rocznik
Tom
2
Strony
261--268
Opis fizyczny
Twórcy
  • AGH University of Science and Technology Kraków, Poland
  • AGH University of Science and Technology Kraków, Poland
Bibliografia
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  • Dorosz K. and Korzycki M., "Latent semantic analysis evaluation of conceptual dependency driven focused crawling," in Multimedia Communications, Services and Security, ser. Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012, vol. 287, pp. 77-84. ISBN 978-3-642-30720-1. [Online]. Available: http://dx.doi.org/10.1007/978-3-642-30721-8_8
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  • Griffiths T. L. and Steyvers M., "Finding scientific topics," Proceedings of the National Academy of Sciences, vol. 101, no. Suppl. 1, pp. 5228-5235, April 2004. doi: 10.1073/pnas.0307752101. [Online]. Available: http://dx.doi.org/10.1073/pnas.0307752101
  • Korzycki M. and Korczyński W., "Does topic modelling reflect semantic prototypes?" in New Research in Multimedia and Internet Systems, ser. Advances in Intelligent Systems and Computing, A. Zgrzywa, K. Choroś, and A. Siemiński, Eds. Springer International Publishing, 2015, vol. 314, pp. 113-122. ISBN 978-3-319-10382-2. [Online]. Available: http://dx.doi.org/10.1007/978-3-319-10383-9_11
  • Landauer T. K., McNamara D. S., Dennis S., and Kintsch W., Eds., Handbook of Latent Semantic Analysis, ser. University of Colorado Institute of Cognitive Science Series. Mahwah, New Jersey, USA:Lawrence Erlbaum Associates, 2007. ISBN 9780805854183
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  • Lubaszewski W., Dorosz K., and Korzycki M., "System for web information monitoring," in Computer Applications Technology (ICCAT), 2013 International Conference on, Jan 2013. doi: 10.1109/ICCAT.2013.6522053 pp. 1-6. [Online]. Available: http://dx.doi.org/10.1109/ICCAT.2013.6522053
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  • Ortega-Pacheco D., Arias-Trejo N., and Martinez J. B. B., "Latent semantic analysis model as a representation of free-association word norms." In MICAI (Special Sessions). IEEE, 2012. doi: 10.1109/MICAI.2012.13. ISBN 978-1-4673-4731-0 pp. 21-25. [Online]. Available: http://dx.doi.org/10.1109/MICAI.2012.1
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  • Steyvers M. and Griffiths T., "Probabilistic topic models," in Latent Semantic Analysis: A Road to Meaning. Laurence Erlbaum, 2005. [Online]. Available: http://psiexp.ss.uci.edu/research/papers/SteyversGriffithsLSABookFormatted.pdf
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Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.ekon-element-000171325163

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