Roman Yangarber

Person

Latest publications

  1. Comparison of Representations of Named Entities for Multi-label Document Classification with Convolutional Neural Networks

    Pivovarova, L. & Yangarber, R., Jul 2018, Proceedings of The Third Workshop on Representation Learning for NLP. Association for Computational Linguistics, p. 64-68 5 p.

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

  2. Benchmarks and models for entity-oriented polarity detection

    Pivovarova, L., Klami, A. & Yangarber, R., 2018, The 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference Volume 3 (Industry Papers). Association for Computational Linguistics, p. 129-136 8 p.

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

  3. Digital cultural heritage and revitalization of endangered Finno-Ugric languages

    Katinskaya, A. & Yangarber, R., 2018.

    Research output: Conference materialsPaperResearchpeer-review

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Latest activities

  1. The 4th Biennial International Workshop on Balto-Slavic Natural Language Processing

    Roman Yangarber (Member of organizing committee)
    8 Aug 2013

    Activity: Participating in or organising an event typesOrganisation and participation in conferences, workshops, courses, seminars

  2. Workshop on comparing approaches to measuring linguistic differences

    Roman Yangarber (Speaker: Keynote)
    24 Oct 201125 Oct 2011

    Activity: Participating in or organising an event typesPublic Talks

  3. Biological Evolution and the Diversification of Languages (BEDLAN) Seminar

    Roman Yangarber (Speaker: Keynote)
    21 Sep 201123 Sep 2011

    Activity: Participating in or organising an event typesPublic Talks

View all (23) »

Latest projects

  1. PULS

    Yangarber, R., Du, M., Pivovarova, L., Pierce, M., von Etter, P. & Huttunen, S.

    01/12/2007 → …

    Project: Research project

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ID: 49294