Anders Søgaard

Anders Søgaard

Professor


  1. Udgivet

    Lexii: A tool for adaptive, personalized text simplification

    Bingel, J., Paetzold, G. H. & Søgaard, Anders, 2018, Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Linguistics, s. 245-258

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  2. Udgivet

    Domain Transfer in Dialogue Systems without Turn-Level Supervision

    Bingel, J., Hansen, V. P. B., Gonzalez, Ana Valeria, Budzianowski, P., Augenstein, Isabelle & Søgaard, Anders, 2019. 12 s.

    Publikation: KonferencebidragPaperForskning

  3. Udgivet

    Text Simplification as Tree Labeling

    Bingel, J. & Søgaard, Anders, 2016, The 54th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference. Berlin: Association for Computational Linguistics, Bind 2. s. 337-343 7 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  4. Udgivet

    Identifying beneficial task relations for multi-task learning in deep neural networks

    Bingel, J. & Søgaard, Anders, 2017, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: volume 2, short papers. Association for Computational Linguistics, Bind 2. s. 164-169 6 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. Udgivet

    Improving historical spelling normalization with bi-directional LSTMs and multi-task learning

    Bollman, M. & Søgaard, Anders, 2016, The 26th International Conference on Computational Linguistics: proceedings of COLING 2016: technical Papers. s. 131-139 9 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. Udgivet

    Multi-task learning for historical text normalization: Size matters

    Bollmann, M. M., Søgaard, Anders & Bingel, J., 2018, Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP. Association for Computational Linguistics, s. 19–24

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. Udgivet

    Learning attention for historical text normalization by learning to pronounce

    Bollmann, M., Bingel, J. & Søgaard, Anders, 1 jan. 2017, ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Association for Computational Linguistics, s. 332-344 13 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  8. Udgivet

    Moses and the Character-Based Random Babbling Baseline: CoAStaL at AmericasNLP 2021 Shared Task

    Bollmann, M., Aralikatte, R., Bello, H. R. M., Hershcovich, Daniel, de Lhoneux, M. & Søgaard, Anders, 2021, Proceedings of the 1st Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2021. Mager, M., Oncevay, A., Rios, A., Ruiz, I. V. M., Palmer, A., Neubig, G. & Kann, K. (red.). Association for Computational Linguistics, s. 248-254

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  9. Udgivet

    Few-Shot and Zero-Shot Learning for Historical Text Normalization

    Bollmann, M., Korchagina, N. & Søgaard, Anders, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019). Association for Computational Linguistics, s. 104-114

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Udgivet

    Error analysis and the role of morphology

    Bollmann, M. & Søgaard, Anders, 2021, EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics, s. 1887-1900

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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