Classification of Short Scientific Texts
I. K. Kusakin, O. V. Fedorets, A. Yu. Romanov · Scientific and Technical Information Processing · 2023
Abstract This paper discusses modern approaches to natural language processing and the application of machine learning models to the task of classifying short scientific texts in Russian. This study is devoted to the analysis of methods for vectorization of textual information, selection of a model for scientific paper classification, and training of linguistic model BERT on the domain of scientific texts. This paper presents the results of experiments to train scientific article classification models at the first and second levels of the Russian State Rubricator of Scientific and Technical Information (SRSTI).