Участник:MEremeev
Материал из MachineLearning.
(Различия между версиями)
(→Maksim Eremeev) |
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[https://www.linkedin.com/in/maks5507/ My LinkedIn] | [https://www.linkedin.com/in/maks5507/ My LinkedIn] | ||
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'''[[Служебная:EmailUser/MEremeev|Мне можно написать письмо]]'''. | '''[[Служебная:EmailUser/MEremeev|Мне можно написать письмо]]'''. | ||
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==Research Interests== | ==Research Interests== | ||
| - | == | + | 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. | ||
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| + | ==Conference Talks== | ||
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| + | {| class="wikitable" | ||
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| + | !Date|| Event || Topic || Materials | ||
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| + | |20.02.2020|| Poster Session at [http://opentalks.ai OpenTalks.AI] conference || Automatically estimating text complexity || [http://maksimeremeev.com/files/eremeev20opentalks-poster.pdf Poster] | ||
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| + | |29.11.2019|| Talk at Mathematical Methods of Pattern Recognition conference ([[ММРО|MMPR]]) || Quantile-based approach to estimating cognitive complexity || [http://maksimeremeev.com/files/eremeev19mmpr-pres.pdf Slides] | ||
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| + | |04.09.2019|| Poster Session at Recent Advances of Natural Language Processing conference ([http://ranlp.org/archive/ranlp2019/start.php RANLP]) || Lexical Quantile-based Text Complexity Measure || [http://maksimeremeev.com/files/eremeev19ranlp-poster.pdf Poster] | ||
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| + | |11.05.2019|| Talk at ODS [https://datafest.ru DataFest] conference, Science Day || Estimating text complexity to rank exploratory search results || [http://maksimeremeev.com/files/eremeev19datafest-pres.pdf Slides] | ||
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| + | [https://www.youtube.com/watch?v=tUkX__cid2M Video] | ||
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| + | |10.04.2019|| National Students conference [http://lomonosov-msu.ru/rus/event/5500/ Lomonosov], Mathematical Methods of Forecasting section || Exploratory search based on Topic Modeling || [http://maksimeremeev.com/files/eremeev19lomonosov-pres.pdf Slides] | ||
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==Publications== | ==Publications== | ||
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# 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. [http://maksimeremeev.com/files/eremeev19lomonosov.pdf Text] | # 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. [http://maksimeremeev.com/files/eremeev19lomonosov.pdf Text] | ||
# 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. [http://maksimeremeev.com/files/eremeev19complexity.pdf Text] | # 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. [http://maksimeremeev.com/files/eremeev19complexity.pdf Text] | ||
| - | # 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. [http://maksimeremeev.com/files/eremeev19mmpr.pdf Text] | + | # 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. [http://maksimeremeev.com/files/eremeev19mmpr.pdf Text] |
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Текущая версия
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
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.
Conference Talks
| Date | Event | Topic | Materials |
|---|---|---|---|
| 20.02.2020 | Poster Session at OpenTalks.AI conference | Automatically estimating text complexity | Poster |
| 29.11.2019 | Talk at Mathematical Methods of Pattern Recognition conference (MMPR) | Quantile-based approach to estimating cognitive complexity | Slides |
| 04.09.2019 | Poster Session at Recent Advances of Natural Language Processing conference (RANLP) | Lexical Quantile-based Text Complexity Measure | Poster |
| 11.05.2019 | Talk at ODS DataFest conference, Science Day | Estimating text complexity to rank exploratory search results | Slides |
| 10.04.2019 | National Students conference Lomonosov, Mathematical Methods of Forecasting section | Exploratory search based on Topic Modeling | Slides |
Publications
- 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
- 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
- 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
