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Authorship Attribution in Russian with New High-Performing and Fully Interpretable Morpho-Syntactic Features., , и . AIST, том 11832 из Lecture Notes in Computer Science, стр. 193-204. Springer, (2019)Automatic Generation of Text-Based Open Cloze Exercises.. AIST, том 436 из Communications in Computer and Information Science, стр. 140-151. Springer, (2014)fastText-based methods for Emotion Identification in Russian Internet Discourse., , и . WebSci, стр. 112-119. ACM, (2021)A Deep Learning Method Study of User Interest Classification., и . AIST (Supplement), том 1086 из Communications in Computer and Information Science, стр. 154-159. Springer, (2019)Language Exercise Generation: Emulating Cambridge Open Cloze.. Int. J. Concept. Struct. Smart Appl., 2 (2): 20-35 (2014)Aspect-Based Sentiment Analysis of Russian Hotel Reviews., и . AIST (Supplement), том 2268 из CEUR Workshop Proceedings, стр. 75-84. CEUR-WS.org, (2018)Russian Q&A Method Study: From Naive Bayes to Convolutional Neural Networks., и . AIST, том 11179 из Lecture Notes in Computer Science, стр. 121-126. Springer, (2018)Behavior of Modern Pre-trained Language Models Using the Example of Probing Tasks., , и . RANLP, стр. 664-670. INCOMA Ltd., (2021)SyntaxNet Errors from the Linguistic Point of View., , и . AIST, том 10716 из Lecture Notes in Computer Science, стр. 34-46. Springer, (2017)Development of a Model to Predict Intention Using Deep Learning., , и . AIST (Supplement), том 1975 из CEUR Workshop Proceedings, стр. 69-78. CEUR-WS.org, (2017)