1. 2022
  2. Квантитативная онтология и база данных русских предлогов

    Захаров, В. П., Азарова, И. В., Головина, А. В., Гудков, В. В. & Москвина, А. Д., 2022, In: Вестник РФФИ. Гуманитарные и общественные науки. 2(109), p. 17-26

    Research output: Contribution to journalArticlepeer-review

  3. 2021
  4. CHARACTERISTIC FEATURES OF RUSSIAN MULTIWORD PREPOSITIONS

    Zakharov, V., Golovina, A. & Azarova, I., 2021, p. 1696-1697. 2 p.

    Research output: Contribution to conferencePaper

  5. 2020
  6. Russian prepositional phrase semantic labelling with word embedding-based classifier

    Gudkov, V., Golovina, A., Mitrofanova, O. & Zakharov, V., Jan 2020, R. Piotrowski's Readings in Language Engineering and Applied Linguistics. PRLEAL-2019: Proceedings of the III International Conference. Ronzhin, A., Noskova, T. & Karpov, A. (eds.). RWTH Aahen University, p. 272-284 (CEUR Workshop Proceedings; vol. 2552).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  7. Russian secondary prepositions: Methodology of analysis

    Zakharov, V., Golovina, A., Alexeeva, E. & Gudkov, V., 2020, In: CEUR Workshop Proceedings. 2780, p. 187-201 15 p.

    Research output: Contribution to journalConference articlepeer-review

  8. Semantic analysis of Russian prepositional constructions

    Zakharov, V., Boyarsky, K., Golovina, A. & Kozlova, A., 2020, RASLAN 2020 - 14th Workshop on Recent Advances in Slavonic Natural Language Processing, Proceedings. Horak, A., Rychly, P. & Rambousek, A. (eds.). Tribun EU, p. 103-111 9 p. (Recent Advances in Slavonic Natural Language Processing; vol. 2020-December).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  9. Statistical analysis of Russian multiword prepositions

    Zakharov, V., Golovina, A. & Azarova, I., 2020, NORDSCI 2020 Conference Proceedings. Book 1. Vol. 3. p. 191-200

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

ID: 29457095