Участник:MEremeev

Материал из MachineLearning.

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(Maksim Eremeev)
(Research Interests)
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==Research Interests==
==Research Interests==
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Majoring in Machine Learning and Data Analysis, my primary research interests are '''Natural Language Processing''', '''Topic Modeling''' and '''Information Search'''.
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Currently, I conduct research on automatic estimation of '''text complexity''' and generating '''reading orders'''. If succeeded, the novel algorithms in ranking exploratory search results will be introduced.
==Work Experience==
==Work Experience==

Версия 20:29, 26 февраля 2020

Maksim Eremeev

Senior BSc. student of Lomonosov Moscow State University, faculty of Computational Mathematics and Cybernetics, Mathematical Methods of Forecasting department.

Scientific Advisor: Konstantin Vorontsov


SCOPUS ID = 57212339802

ORCID = 0000-0001-7459-7290

My LinkedIn


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Содержание

Research Interests

Majoring in Machine Learning and Data Analysis, my primary research interests are Natural Language Processing, Topic Modeling and Information Search.

Currently, I conduct research on automatic estimation of text complexity and generating reading orders. If succeeded, the novel algorithms in ranking exploratory search results will be introduced.

Work Experience

Publications

  1. M.Eremeev, A.Yanina. 2019. Exploratory Search based on Topic Modelling (in Russian). Book of Abstracts of XXVI International Conference of Students, Graduates and Young Scientists “Lomonosov-2019”, Computational Mathematics and Cybernetics section, Moscow, Russia, 2019. Text
  2. M.Eremeev, K.Vorontsov. 2019. Lexical Quantile-Based Text Complexity Measure. In Proceedings of the 12th International Conference on “Recent Advances in Natural Language Processing” (Scopus-indexed), Varna, Bulgaria, 2019. Text
  3. M.Eremeev, K.Vorontsov. 2019. Quantile-based approach of measuring cognitive complexity of text. In proceedings of Russian National Conference MMPR-2019, Moscow, Russia, 2019. Text

Conference Talks

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