Anders Søgaard

Anders Søgaard

Professor

ORCID: 0000-0001-5250-4276

Publication year:
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1 - 21 out of 21Page size: 500
  1. 2018
  2. Published

    A Danish FrameNet Lexicon and an Annotated Corpus Used for Training and Evaluating a Semantic Frame Classifier

    Pedersen, Bolette Sandford, Nimb, S., Søgaard, Anders, Hartmann, M. & Olsen, Sussi, 2018, Proceedings of the 11th edition of the Language Resources and Evaluation Conference, Miyazaki, Japan.. European Language Resources Association, 5 p.

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

  3. 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

  4. Published

    Character-level Supervision for Low-resource POS Tagging

    Kann, K., Bjerva, J., 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 proceeding › Article in proceedings › Research › peer-review

  5. Published

    Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction

    Kementchedjhieva, Yova Radoslavova, Ruder, S., Cotterell, R. & Søgaard, Anders, 2018, Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). Association for Computational Linguistics, p. 211–220

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

  6. 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

  7. 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

  8. 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

  9. 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

  10. Published

    Linguistic representations in multi-task neural networks for ellipsis resolution

    Rønning, O., Hardt, D. & Søgaard, Anders, 2018, Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics, p. 66–73

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

  11. 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

  12. 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

  13. Published

    Nightmare at test time: How punctuation prevents parsers from generalizing

    Søgaard, Anders, Lhoneux, M. D. & Augenstein, Isabelle, 2018, Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP . Association for Computational Linguistics, p. 25–29

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

  14. Published

    On the Limitations of Unsupervised Bilingual Dictionary Induction

    Søgaard, Anders, Ruder, S. & Vulic, I., 2018, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics: (Long papers). Association for Computational Linguistics, p. 778–788

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

  15. Published

    Sentiment analysis under temporal shift

    Lukes, J. & Søgaard, Anders, 2018, Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Association for Computational Linguistics, p. 65–71

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

  16. 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

  17. Published

    Sluice resolution without hand-crafted features over brittle syntax trees

    Rønning, Ola, Hardt, D. & 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. 236–241

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

  18. 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

  19. Published

    What I think when I think about treebanks

    Søgaard, Anders, 2018, Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (TLT16),. Association for Computational Linguistics, p. 161-166

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

  20. Published

    When does deep multi-task learning work for loosely related document classification tasks?

    Kerinec, E., Søgaard, Anders & Braud, C., 2018, Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics, p. 1-8

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

  21. 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

  22. Published

    Zero-shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens

    Rei, M. & Søgaard, Anders, 2018, Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Ppaers). Association for Computational Linguistics, Vol. 1. p. 293–302

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

ID: 13266