Similarity and Classification of Mathematical Papers

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Authors

SOJKA Petr ŘEHŮŘEK Radim

Year of publication 2009
MU Faculty or unit

Faculty of Informatics

Web
Description Robust and scalable technology that allows, based on the full texts of mathematical papers, by machine learning methods (SVM, TFIDF, ...) to learn - top-level MSC classifier - to compute semantic similarity of mathematical papers in a digital library Reference: [1] Řehůřek, Radim - Sojka, Petr. Automated Classification and Categorization of Mathematical Knowledge. In Intelligent Computer Mathematics: AISC/Calculemus/MKM LNAI 5144. Berlin, Heidelberg, New York : Springer-Verlag, 2008. od s. 543-557, 15 s. ISBN 978-3-540--85109-7. [2] Sojka, Petr - Řehůřek, Radim. Classification of Multilingual Mathematical Papers in DML-CZ. In Proceedings of First Workshop of Recent Advances in Slavonic Natural Language Processing RASLAN 2007. první. Brno: Masarykova univerzita, 2007. od s. 89-96, 8 s. ISBN 978-80-210-4471-5.
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