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Alexey Malafeev
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2020 – today
- 2021
- [c14]Ekaterina Kalyaeva, Oleg Durandin, Alexey Malafeev:
Behavior of Modern Pre-trained Language Models Using the Example of Probing Tasks. RANLP 2021: 664-670 - [c13]Alexander Babii
, Marina Kazyulina, Alexey Malafeev:
fastText-based methods for Emotion Identification in Russian Internet Discourse. WebSci 2021: 112-119 - 2020
- [c12]Marina Kazyulina
Emotion Classification in Russian: Feature Engineering and Analysis. AIST 2020: 135-148
2010 – 2019
- 2019
- [c11]Oleg Durandin
Adapting the Graph2Vec Approach to Dependency Trees for NLP Tasks. AIST (Supplement) 2019: 120-131 - [c10]Alexey Malafeev
A Deep Learning Method Study of User Interest Classification. AIST (Supplement) 2019: 154-159 - [c9]Lyudmila Maltina
Morpheme Segmentation for Russian: Evaluation of Convolutional Neural Network Models. AIST (Supplement) 2019: 160-166 - [c8]Elena Pimonova
Authorship Attribution in Russian with New High-Performing and Fully Interpretable Morpho-Syntactic Features. AIST 2019: 193-204 - 2018
- [c7]Valery Rybakov, Alexey Malafeev:
Aspect-Based Sentiment Analysis of Russian Hotel Reviews. AIST (Supplement) 2018: 75-84 - [c6]Lyudmila Maltina, Alexey Malafeev:
Automatic Morphemic Analysis of Russian Words. AIST (Supplement) 2018: 85-94 - [c5]Kirill Nikolaev
Russian Q&A Method Study: From Naive Bayes to Convolutional Neural Networks. AIST 2018: 121-126 - 2017
- [c4]Oleg Durandin
SyntaxNet Errors from the Linguistic Point of View. AIST 2017: 34-46 - [c3]Nikolay Karpov, Alexander Demidovskij, Alexey Malafeev:
Development of a Model to Predict Intention Using Deep Learning. AIST (Supplement) 2017: 69-78 - [c2]Kirill Nikolaev
Russian-Language Question Classification: A New Typology and First Results. AIST 2017: 72-81 - 2014
- [j1]Alexey Malafeev:
Language Exercise Generation: Emulating Cambridge Open Cloze. Int. J. Concept. Struct. Smart Appl. 2(2): 20-35 (2014) - [c1]Alexey Malafeev
Automatic Generation of Text-Based Open Cloze Exercises. AIST 2014: 140-151
Coauthor Index
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