Anders Søgaard

Anders Søgaard

Professor

ORCID: 0000-0001-5250-4276

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  1. Udgivet

    Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces

    Augenstein, Isabelle, Ruder, S. & Søgaard, Anders, 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, Bind 1. s. 1896–1906 11 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  2. Udgivet

    Sequence classification with human attention

    Barrett, M. J., Bingel, J., Hollenstein, N., Rei, M. & Søgaard, Anders, 2018, Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). Korhonen, A. & Titov, I. (red.). Association for Computational Linguistics, s. 302–312

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  3. Udgivet

    Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing

    Barrett, M. J., Gonzalez, Ana Valeria, Frermann, L. & Søgaard, Anders, 2018, Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Human Language Technologies, (Long Papers) . Cordeiro, S. R., Oraby, S., Pavalanathan, U. & Rim, K. (red.). Association for Computational Linguistics, Bind 1. s. 2028-2038 11 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  4. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  5. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  6. Udgivet

    A strong baseline for question relevancy ranking

    Gonzalez, Ana Valeria, Augenstein, Isabelle & Søgaard, Anders, 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, s. 4810–4815

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  7. Udgivet

    Learning to predict readability using eye-movement data from natives and learners

    Gonzalez, Ana Valeria & Søgaard, Anders, 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, Proceedings. AAAI Press, s. 5118-5124 7 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  8. Udgivet

    Leaming LanguageJndepondent Roprcsentations of Vorbe snd AdjcctivEs from Multimodal Retricvsl

    Hansen, V. P. B. & Søgaard, Anders, 2018, Proceedings of the 14th lnternatlonal Conference on Signal lmage Technology & lnternet Based Systems: SITIS 2018. IEEE, s. 427-434

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  9. Udgivet

    Limitations of cross-lingual learning from image search

    Hartmann, M. & Søgaard, Anders, 2018, Proceedings of the 3rd Workshop on Representation Learning for NLP. s. 59–163

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  10. Udgivet

    Why is unsupervised alignment of English embeddings from different algorithms so hard?

    Hartmann, M., Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, s. 582–586

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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