Anders Søgaard

Anders Søgaard

Professor

ORCID: 0000-0001-5250-4276

Publication year:
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1 - 10 out of 21Page size: 10
  1. 2018
  2. Published

    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, Vol. 1. p. 1896–1906 11 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  3. Published

    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. (eds.). Association for Computational Linguistics, p. 302–312

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  4. Published

    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. (eds.). Association for Computational Linguistics, Vol. 1. p. 2028-2038 11 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. Published

    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, p. 245-258

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  6. Published

    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, p. 19–24

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  7. Published

    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, p. 4810–4815

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  8. Published

    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, p. 5118-5124 7 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  9. Published

    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, p. 427-434

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  10. Published

    Limitations of cross-lingual learning from image search

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

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  11. Published

    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, p. 582–586

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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