Alexey Malafeev
- Visiting Specialist:HSE Campus in Nizhny Novgorod / Faculty of Humanities (Nizhny Novgorod) / School of Fundamental and Applied Linguistics
- Alexey Malafeev has been at HSE University since 2010.
Degrees
2008
Candidate of Sciences* (PhD)
* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
International Certificates
Cambridge Certificate of Proficiency in English (CPE) (grade A) - June 2011
Cambridge Certificate in Advanced English (CAE) (grade A) - June 2009
Noryoku Shiken 2kyu (Japanese language) - December 2006
Young Faculty Support Program (Group of Young Academic Professionals)
Category "Future Professoriate" (2014-2015)
Category "New Lecturers" (2012-2013)
Courses (2022/2023)
- Introduction to neural network and machine translation (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod); 4 year, 2, 3 module)Eng
- Natural Language Processing (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod); 3 year, 2-4 module)Eng
- Programming for Linguists (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod); 4 year, 1 module)Rus
- Past Courses
Courses (2019/2020)
- Computer Tools for Linguistic Research (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod); 2 year, 3, 4 module)Eng
- Corpus Methods in Philology (Master’s programme; Faculty of Humanities (Nizhny Novgorod); 1 year, 4 module)Rus
- Introduction to Programming for Linguists (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod); 1 year, 1-4 module)Rus
- Natural Language Processing (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod); 3 year, 1-3 module)Eng
- Programming in Python (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod); 2 year, 4 module)Rus
- Research Seminar "Linguistic Methods in Socio-Humanitarian Projects" (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod); 4 year, 1, 2 module)Rus
Courses (2018/2019)
- Computer Tools for Linguistic Research (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod); 2 year, 3, 4 module)Eng
- Corpus Methods in Philology (Master’s programme; Faculty of Humanities (Nizhny Novgorod); 1 year, 3, 4 module)Rus
- Experimental Linguistics (Postgraduate course’s programme; 1 year, 1 semester)Rus
- Introduction to Programming for Linguists (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod); 1 year, 1, 2 module)Rus
- Natural Language Processing (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod); 3 year, 1-3 module)Eng
Courses (2017/2018)
- Computer Tools for Linguistic Research (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod); 2 year, 3, 4 module)Eng
- Introduction to Programming for Linguists (Bachelor’s programme; Faculty of Humanities (Nizhny Novgorod); 1 year, 1, 2 module)Rus
Grants
– 2019 Project No. 19-04-004 of the HSE Scientific Foundation Program on the creation of a research and training group for analyzing multimedia data of users of mobile devices
– 2015-2017 Russian Foundation for Humanities grant No15-09-0250, "Tolerance as a cultural, political, linguistic problem (media and political discourse analysis).
Conferences
- 2017Интеграционные технологии в преподавании филологических дисциплин (Нижний Новгород). Presentation: Современные компьютерные инструменты лингвистических исследований
- Компьютерная лингвистика и интеллектуальные технологии: Диалог 2017 (Москва). Presentation: Толерантность по-русски и по-английски: корпусное исследование
Analysis of Images, Social Networks and Texts. 6th International Conference, AIST 2017 (Moscow). Presentation: SyntaxNet Errors from the Linguistic Point of View
- 2016ConCorT-2016: Корпусные технологии. Digital Humanities и современное знание (Нижний Новгород). Presentation: Автоматическое выявление интолерантных высказываний
- 2015"Диалог 2015": Компьютерная лингвистика и интеллектуальные технологии (Москва). Presentation: Exercise Maker: Automatic Language Exercise Generation
- 2014VIII Российская летняя школа по информационному поиску RuSSIR 2014 (Нижний Новгород). Presentation: Automatic Generation of Language Exercises
- The 3rd International Conference on Analysis of Images, Social Networks, and Texts (AIST 2014) (Екатеринбург). Presentation: Automatic Generation of Text-Based Open Cloze Exercises
Publications14
- Chapter Malafeev A., Nikolaev K. A Deep Learning Method Study of User Interest Classification, in: Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers. Communications in Computer and Information Science Vol. 1086. Springer, 2020. doi P. 154-159. doi
- Chapter Durandin O., Malafeev A. Adapting the Graph2Vec Approach to Dependency Trees for NLP Tasks, in: Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers. Communications in Computer and Information Science Vol. 1086. Springer, 2020. doi P. 120-131. doi
- Chapter Maltina L., Malafeev A. Morpheme Segmentation for Russian: Evaluation of Convolutional Neural Network Models, in: Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers. Communications in Computer and Information Science Vol. 1086. Springer, 2020. doi P. 160-166. doi
- Chapter Pimonova E., Durandin O., Malafeev A. Authorship Attribution in Russian with New High-Performing and Fully Interpretable Morpho-Syntactic Features, in: Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Lecture Notes in Computer Science, Revised Selected Papers / Ed. by W. M. van der Aalst, V. Batagelj, D. I. Ignatov, M. Y. Khachay, V. Kuskova, A. Kutuzov, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch, A. Napoli, P. M. Pardalos, M. Pelillo, A. Savchenko, E. Tutubalina. Vol. 11832. Cham : Springer, 2019. doi P. 193-204. doi
- Chapter Рыбаков В. В., Malafeev A. Aspect-Based Sentiment Analysis of Russian Hotel Reviews, in: Supplementary Proceedings of the 7th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2018), Moscow, Russia, July 5-7, 2018 / Ed. by W. van der Aalst,, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay,, O. Koltsova,, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Aachen : CEUR Workshop Proceedings, 2018. Ch. 8. P. 75-84.
- Chapter Мальтина Л. П., Malafeev A. Automatic Morphemic Analysis of Russian Words, in: Supplementary Proceedings of the 7th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2018), Moscow, Russia, July 5-7, 2018 / Ed. by W. van der Aalst,, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay,, O. Koltsova,, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Aachen : CEUR Workshop Proceedings, 2018. Ch. 9. P. 85-94.
- Chapter Nikolaev K., Malafeev A. Russian Q&A Method Study: From Naive Bayes to Convolutional Neural Networks, in: Analysis of Images, Social Networks and Texts. 7th International Conference AIST 2018 / Ed. by W. van der Aalst, D. I. Ignatov. Springer, 2018. Ch. 12. P. 121-126. doi
- Chapter Nikolaev K., Malafeev A. Russian-Language Question Classification: a New Typology and First Results, in: Analysis of Images, Social Networks and Texts. 6th International Conference, 2017, Revised Selected Papers / Ed. by W. M. van der Aalst, D. I. Ignatov, M. Khachay, S. Kuznetsov, V. Lempitsky, I. A. Lomazova, A. Napoli, A. Panchenko, P. M. Pardalos, A. V. Savchenko, S. Wasserman. Vol. 10716. Cham : Springer, 2018. doi Ch. 7. P. 72-81. doi
- Chapter Durandin O., Malafeev A., Zolotykh N. SyntaxNet Errors from the Linguistic Point of View, in: Analysis of Images, Social Networks and Texts. 6th International Conference, 2017, Revised Selected Papers / Ed. by W. M. van der Aalst, D. I. Ignatov, M. Khachay, S. Kuznetsov, V. Lempitsky, I. A. Lomazova, A. Napoli, A. Panchenko, P. M. Pardalos, A. V. Savchenko, S. Wasserman. Vol. 10716. Cham : Springer, 2018. doi Ch. 4. P. 34-46. doi
- Article Vaskova N., Kirushin Sergey, Malafeev Alexey. Development of a KPI subsystem for a Russian confectionery company: a case study // International Journal of Industrial Engineering and Management. 2017. Vol. 8. No. 2. P. 47-60.
- Chapter Karpov N., Demidovskij A., Malafeev A. Development of a Model to Predict Intention Using Deep Learning, in: Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2017), Moscow, Russia, July 27-29, 2017 / Ed. by W. van der Aalst, M. Y. Khachay, S. Kuznetsov, V. Lempitsky, I. A. Lomazova, N. Loukachevitch, A. Napoli, A. Panchenko, P. M. Pardalos, A. V. Savchencko, S. Wasserman, D. I. Ignatov. Vol. 1975. Aachen : CEUR-WS.org, 2017. P. 69-78.
- Chapter Malafeev A. Exercise Maker: Automatic Language Exercise Generation, in: Computational Linguistics and Intellectual Technologies. Papers from the Annual International Conference “Dialogue” (2015) Issue 14(21). M. : Russian State University for the Humanitie, 2015. P. 441-452.
- Chapter Malafeev A. Automatic Generation of Text-Based Open Cloze Exercises, in: Communications in Computer and Information Science / Ed. by D. I. Ignatov, M. Y. Khachay, A. Panchenko, N. Konstantinova, R. Yavorskiy. Vol. 436: Analysis of Images, Social Networks and Texts. Third International Conference, AIST 2014 Yekaterinburg, Russia, April 10–12, 2014 Revised Selected Papers. Cham : Springer, 2014. P. 140-151.
- Article Malafeev A. Language Exercise Generation: Emulating Cambridge Open Cloze // International Journal of Conceptual Structures and Smart Applications (IJCSSA). 2014. Vol. 2. No. 2. P. 20-35. doi
Exercise Maker
Exercise Maker is a program for the automatic generation of vocabulary/grammar/reading comprehension exercises from any texts in English. The program supports various exercise types. You can use Exercise Maker both in teaching and learning the English language. It's free and easy to use.
download Exercise Maker
instructions in English
To cite/reference Exercise Maker, please use the following publication:
Malafeev, A. (2014). Automatic Generation of Text-Based Open Cloze Exercises. In Analysis of Images, Social Networks and Texts (pp. 140-151). Springer International Publishing.
Programme which Automatically Creates English Language Exercises Invented by HSE Teacher
April 10th is the closing date for applications for this year’s Fund for Educational Innovation (FOI) competition. Alexei Malafeev, Associate Professor at the Department for Foreign Languages, HSE Nizhny Novgorod, explains how to create an interesting project and put it into practice. His programme for teaching English Exercise Maker won the FOI competition two years ago.