Anna Mosolova

Doctorant

Statut : Doctorante

Adresse :

LLF, CNRS – UMR 7110
Université Paris Cité
Case 7031 – 5, rue Thomas Mann,
75205 Paris cedex 13

E-mail : n.zbfbybin333@tznvy.pbz

Domaines :
  Le mot

Axes de recherche :
  Linguistique computationnelle

Présentation générale

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

Titre : Induction semi-supervisée de sens et de cadres sémantiques

Directeur :
  Marie Candito
  Carlos Ramisch

Inscription : 2022 à Université Paris Cité

Bibliographie

  • 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

  • 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