Johannes Bjerva

Johannes Bjerva

Postdoc


Publication year:
  1. 2020
  2. Published

    Parameter sharing between dependency parsers for related languages

    Lhoneux, M. D., Bjerva, Johannes, Augenstein, Isabelle & Søgaard, Anders, 2020, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, p. 4992-4997

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. 2019
  4. Published

    A Probabilistic Generative Model of Linguistic Typology

    Bjerva, Johannes, Kementchedjhieva, Yova Radoslavova, Cotterell, R. & Augenstein, Isabelle, 2019, Proceedings of NAACL-HLT 2019. Association for Computational Linguistics, p. 1529–1540

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. Published

    Transductive Auxiliary Task Self-Training for Neural Multi-Task Models

    Bjerva, Johannes, Kann, K. & Augenstein, Isabelle, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo). Association for Computational Linguistics, p. 253–258

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. Published

    Uncovering Probabilistic Implications in Typological Knowledge Bases

    Bjerva, Johannes, Kementchedjhieva, Yova Radoslavova, Cotterell, R. & Augenstein, Isabelle, 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 3924–3930

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  7. Published

    What do language representations really represent?

    Bjerva, Johannes, Östling, R., Veiga, M. H., Tiedemann, J. & Augenstein, Isabelle, 2019, In : Computational Linguistics. 45, 2, p. 381-389 9 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. 2018
  9. Published

    Character-level Supervision for Low-resource POS Tagging

    Kann, K., Bjerva, Johannes, Augenstein, Isabelle, Plank, B. & Søgaard, Anders, 2018, Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP. Association for Computational Linguistics, p. 1–11

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    Copenhagen at CoNLL–SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding

    Kementchedjhieva, Yova Radoslavova, Bjerva, Johannes & Augenstein, Isabelle, 2018, Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection . Association for Computational Linguistics, p. 93–98

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  11. Published

    From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings

    Bjerva, Johannes & Augenstein, Isabelle, 2018, Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Papers). Association for Computational Linguistics, Vol. 1. p. 907-916 10 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  12. Published

    Multitask and Multilingual Modelling for Lexical Analysis

    Bjerva, Johannes, 2018, In : Kuenstliche Intelligenz. 32, 4, p. 287-290

    Research output: Contribution to journalJournal articleResearchpeer-review

  13. Published

    Tracking Typological Traits of Uralic Languages in Distributed Language Representations

    Bjerva, Johannes & Augenstein, Isabelle, 2018, Proceedings, Fourth International Workshop on Computational Linguistics for Uralic Languages. Association for Computational Linguistics, p. 78-88

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

ID: 182567114