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  1. 2020

  2. Contextual Predictability of Texts for Texts Processing and Understanding

    Krutchenko, O., Pronoza, E., Yagunova, E., Timokhov, V. & Ivanets, A., 2020, Mining Intelligence and Knowledge Exploration - 7th International Conference, MIKE 2019, Proceedings. B.R., P., Thenkanidiyoor, V., Prasath, R. & Vanga, O. (eds.). Springer Nature, p. 104-119 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11987 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  3. 2018

  4. Similarity Measures and Models for Movie Series Recommender System

    Близнюк, Д. Д., Ягунова, Е. В. & Проноза, Е. В., 25 Sep 2018, Internet Science - 5th International Conference, INSCI 2018, St. Petersburg, Russia, October 24-26, 2018, Proceedings. Springer Nature, Vol. 11193 LNCS. p. 181-193 12 p. (Lecture Notes in Computer Science; vol. 11193).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  5. A new corpus of the russian social network news feed paraphrases: Corpus construction and linguistic feature analysis

    Pronoza, E., Yagunova, E. & Pronoza, A., 2018, Advances in Computational Intelligence - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Proceedings. González-Mendoza, M., Castro, F. & Miranda-Jiménez, S. (eds.). Springer Nature, p. 133-145 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10633 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  6. A New Russian Paraphrase Corpus. Paraphrase Identification and Classification Based on Different Prediction Models

    Pronoza, E. & Yagunova, E., 2018, Computational Linguistics and Intelligent Text Processing - 17th International Conference, CICLing 2016, Revised Selected Papers. Gelbukh, A. (ed.). Springer Nature, Vol. 9623 LNCS. p. 573-587 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9623 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  7. Construction of paraphrase graphs as a means of news clusters extraction

    Yagunova, E., Pronoza, E. & Kochetkova, N., 2018, In: Computacion y Sistemas. 22, 4, p. 1329-1336 8 p.

    Research output: Contribution to journal › Article › peer-review

  8. Extraction of Typical Client Requests from Bank Chat Logs

    Pronoza, E., Pronoza, A. & Yagunova, E., 2018, Advances in Computational Intelligence: 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22-27, 2018, Proceedings, Part II. Switzerland: Springer Nature, p. 156-164 9 p. (Lecture Notes in Artificial Intelligence; vol. 11289).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  9. News Headline as a Form of News Text Compression

    Кочеткова, Н., Ягунова, Е. В. & Проноза, Е. В., 2018, Social Informatics: 10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25-28, 2018, Proceedings, Part II. Springer Nature, Vol. 11186 LNCS. p. 139-147 9 p. (Lecture Notes in Computer Science; vol. 11186).

    Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology › Research › peer-review

  10. ParaPhraser: Russian paraphrase corpus and shared task

    Pivovarova, L., Pronoza, E., Yagunova, E. & Pronoza, A., 2018, Artificial Intelligence and Natural Language - 6th Conference, AINL 2017, Revised Selected Papers. CCIS Springer, Cham ed. Springer Nature, Vol. 789. p. 211-225 15 p. (Communications in Computer and Information Science; vol. 789).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  11. 2017

  12. Sentence paraphrase graphs: Classification based on predictive models or annotators’ decisions?

    Pronoza, E., Yagunova, E. & Kochetkova, N., 2017, Advances in Soft Computing - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings. Springer Nature, Vol. 10061 LNAI. p. 41-52 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10061 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  13. 2016

  14. Construction of a Russian Paraphrase Corpus: Unsupervised Paraphrase Extraction

    Pronoza, E., Yagunova, E. & Pronoza, A., 2016, INFORMATION RETRIEVAL, (RUSSIR 2015). Braslavski, P., Markov, Pardalos, P., Volkovich, Y., Ignatov, DI., Koltsov, S. & Koltsova, O. (eds.). Springer Nature, p. 146-157 12 p. (Communications in Computer and Information Science; vol. 573).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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