Joachim Bingel

Joachim Bingel

Postdoc


  1. 2018
  2. Udgivet

    Lexii : A tool for adaptive, personalized text simplification. / Bingel, Joachim; Paetzold, Gustavo H. ; Søgaard, Anders.

    Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Linguistics, 2018. s. 245-258.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  3. Udgivet

    Multi-task learning for historical text normalization : Size matters. / Bollmann, Marc Marcel; Søgaard, Anders; Bingel, Joachim.

    Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP. Association for Computational Linguistics, 2018. s. 19–24.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  4. Udgivet

    Personalized and Adaptive Text Simplification. / Bingel, Joachim.

    Department of Computer Science, Faculty of Science, University of Copenhagen, 2018.

    Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

  5. Udgivet

    Predicting misreadings from gaze in children with reading difficulties. / Bingel, Joachim; Barrett, Maria; Klerke, Sigrid.

    Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications,. Association for Computational Linguistics, 2018. s. 29-34.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. Udgivet

    Sequence classification with human attention. / Barrett, Maria Jung; Bingel, Joachim; Hollenstein, Nora ; Rei, Marek; Søgaard, Anders.

    Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). red. / Anna Korhonen ; Ivan Titov . Association for Computational Linguistics, 2018. s. 302–312.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. Udgivet

    Using naturalistic eye‐tracking data to understand children’s reading difficulties[Poster/Abstract}. / Barrett, Maria Jung; Bingel, Joachim; Klerke, Sigrid; Balling, Laura Winther.

    I: Journal of Eye Movement Research, Bind 11, Nr. 5, 2018, s. 32.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskning

  8. 2017
  9. Udgivet

    Learning what to share between loosely related tasks. / Ruder, Sebastian; Bingel, Joachim; Augenstein, Isabelle; Søgaard, Anders.

    I: arXiv, 23.05.2017.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskning

  10. Udgivet

    Learning attention for historical text normalization by learning to pronounce. / Bollmann, Marcel; Bingel, Joachim; Søgaard, Anders.

    ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Association for Computational Linguistics, 2017. s. 332-344.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  11. Udgivet

    Identifying beneficial task relations for multi-task learning in deep neural networks. / Bingel, Joachim; Søgaard, Anders.

    Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: volume 2, short papers. Bind 2 Association for Computational Linguistics, 2017. s. 164-169.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  12. Udgivet

    Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs. / Alva-Manchego, Fernando ; Bingel, Joachim; Paetzold, Gustavo H. ; Scarton, Carolina ; Specia, Lucia .

    Proceedings of the The 8th International Joint Conference on Natural Language Processing. Asian Federation of Natural Language Processing, 2017. s. 295–305.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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ID: 143258325