Ansatte – Københavns Universitet

Johannes Bjerva

Johannes Bjerva

Postdoc


Udgivelsesår:
Alle
  1. 2018
  2. Afsendt

    From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings. / Bjerva, Johannes; Augenstein, Isabelle.

    Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . 2018.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  3. Udgivet

    Multitask and Multilingual Modelling for Lexical Analysis. / Bjerva, Johannes.

    I: Kuenstliche Intelligenz, Bind 32, Nr. 4, 2018, s. 287-290.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  4. Afsendt

    Tracking Typological Traits of Uralic Languages in Distributed Language Representations. / Bjerva, Johannes; Augenstein, Isabelle.

    Proceedings, Fourth International Workshop on Computational Linguistics for Uralic Languages. 2018.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. Udgivet

    Character-level Supervision for Low-resource POS Tagging. / Kann, Katharina ; Bjerva, Johannes; Augenstein, Isabelle; Plank, Barbara ; Søgaard, Anders.

    Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP. Association for Computational Linguistics, 2018. s. 1–11.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. Udgivet

    Copenhagen at CoNLL–SIGMORPHON 2018 : Multilingual Inflection in Context with Explicit Morphosyntactic Decoding . / Kementchedjhieva, Yova Radoslavova; Bjerva, Johannes; Augenstein, Isabelle.

    Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection . Association for Computational Linguistics, 2018. s. 93–98 .

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. Udgivet

    Parameter sharing between dependency parsers for related languages. / Lhoneux, Miryam de ; Bjerva, Johannes; Augenstein, Isabelle; Søgaard, Anders.

    Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, 2018.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

ID: 182567114