Similarity and Classification of Mathematical Papers
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| Year of publication | 2009 |
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| 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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