Doctorant
Status : Doctorante
Address :
LLF, CNRS – UMR 7110
Université Paris Cité
Case 7031 – 5, rue Thomas Mann,
75205 Paris cedex 13
E-mail :
n.zbfbybin333@tznvy.pbz
General presentation
Qualifications:
2020-2022: MSc in Natural Language Processing, University of Lorraine, Nancy, France.
2016-2020: BA in Fundamental and Applied Linguistics, Novosibirsk State University, Novosibirsk, Russia.
Previous Experience:
March 2022 - August 2022: Intern, SMarT team, LORIA, Nancy, France
April 2019 - September 2022: Middle Data Scientist, Data Monsters, Palo Alto, USA (remotely)
May 2019 - December 2019: Junior Python developer, Institute of computational technologies SB RAS, Novosibirsk, Russia
July 2018 - August 2018: Senior research assistant, Laboratory of neural networks and deep learning, MIPT, Moscow, Russia
Thèse
Title : Semi-supervised word sense and frame induction
Supervision :
Marie Candito
Carlos Ramisch
Inscription : 2022 à University Paris Cité
Bibliography
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Mosolova, A., Candito, M., Ramisch, C. (2024). Injecting Wiktionary to improve token-level contextual representations using contrastive learning. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics
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Mosolova, A., Smaili, K. (2022). The last chance to understand: machine translation for low-resource languages of Eurasia. Proceedings of the 5th Workshop on Technologies for MT of Low Resource Languages (COLING)
- Mosolova A. (2020). Algorithm of Automatic Accentuation with Respect to the Speaking Norm of а Given Author. Supplementary Proceedings of the XXII International Conference on Data Analytics and Management in Data Intensive Domains.
- Mosolova A. V., Kutuzov A. B. (2020). Reconstruction of historical word forms using Deep Learning. Computational Linguistics and Intellectual Technologies, Annual International Conference “Dialogue”, Student session
- Mosolova A. V., Bondarenko I. Yu., Gusev P. A., Malysheva A. D., Vodolazsky D. I., Borovikova M. N. (2019). Component-Based Approach to Automatic Poetry Generation. Computational Linguistics and Intellectual Technologies, Annual International Conference “Dialogue”, Supplementary volume
- Mosolova A.V., Borovikova M.N., Vodolazsky D.I. (2019). An automated poet for Russian language. Proceedings of 57th International scientific student conference ISSC-2019: Applied Linguistics
- Pauls A.E., Mosolova A.V., Stroganov M.S., Timasova E.K., Shugalevskaya N.B. (2019). A benchmark for estimating the quality of sentence embeddings for Russian language. Proceedings of 57th International scientific student conference ISSC-2019: Informational technologies
- Mosolova A., Bondarenko I., Fomin V. (2018). Conditional Random Fields for Metaphor Detection 2018. Proceedings of the Workshop on Figurative Language Processing, NAACL
- Mosolova A., Bondarenko I., Fomin V. (2018). Text Augmentation for Neural Networks. Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts