Categorization of persons based on their mentions in Polish news texts

• Autorzy: Pachocki Maciej , Wróblewska Anna

Identyfikatory

DOI

10.14313/JAMRIS/2‐2020/19

• Języki publikacji: EN

Abstrakty

EN

Our goal described in this paper was to design, imple‐ ment and test a method of categorization of mentions of persons in Polish news texts. We gathered and classified the input data in order to measure the accuracy of the method. Train and test data were constructed by using lists of persons collected from YAGO knowledge base and Polish Wikipedia. During tests the efficiency of categori‐ zation depending on different representations of a per‐ son was studied. Experiments were executed on our and a chosen solution from literature. The results are shown and discussed in the paper.

Słowa kluczowe

EN

fined‐grained named entity classification; text classification; categorization of persons

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2020
• Tom: Vol. 14, No. 2
• Strony: 42--49
• Opis fizyczny: Bibliogr. 12 poz., rys.

Twórcy

autor

Pachocki Maciej

• Warsaw University of Technology, Faculty of Mathematics and Information Science, ul. Koszykowa 75, Warsaw, Poland

autor

Wróblewska Anna

• Warsaw University of Technology, Faculty of Mathematics and Information Science, ul. Koszykowa 75, Warsaw, Poland, www: www.ii.pw.edu.pl/~awroblew

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).