65 citations · 122 across the 9 of their papers we have counts for
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cs.CL2020★ 15 cited
A Comparative Study of Feature Types for Age-Based Text Classification
Anna Glazkova, Yury Egorov, Maksim Glazkov
The ability to automatically determine the age audience of a novel provides many opportunities for the development of information retrieval tools. Firstly, developers of book recom…
cs.CL2020
UTMN at SemEval-2020 Task 11: A Kitchen Solution to Automatic Propaganda Detection
Elena Mikhalkova, Nadezhda Ganzherli, Anna Glazkova +1
The article describes a fast solution to propaganda detection at SemEval-2020 Task 11, based onfeature adjustment. We use per-token vectorization of features and a simple Logistic…
cs.CL2020★ 7 cited
A Comparison of Synthetic Oversampling Methods for Multi-class Text Classification
Anna Glazkova
The authors compared oversampling methods for the problem of multi-class topic classification. The SMOTE algorithm underlies one of the most popular oversampling methods. It consis…