Anders Søgaard

Anders Søgaard

Professor


  1. 2018
  2. 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 proceedingArticle in proceedingsResearchpeer-review

  3. 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 proceedingArticle in proceedingsResearchpeer-review

  4. 2019
  5. Published

    A Simple and Robust Approach to Detecting Subject-Verb Agreement Errors

    Flachs, S., Lacroix, O., Rei, M., Yannakoudakis, H. & Søgaard, Anders, 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, p. 2418-2427

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. Published

    A Survey of Cross-lingual Word Embedding Models

    Ruder, S., Vulić, I. & Søgaard, Anders, 2019, In: The Journal of Artificial Intelligence Research. 65, p. 569-631

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Published

    A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages

    Vania, C., Kementchedjhieva, Yova Radoslavova, Søgaard, Anders & Lopez, A., 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, p. 1105-1116

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  8. Published

    Better, Faster, Stronger Sequence Tagging Constituent Parsers

    Vilares, D., Abdou, M. & Søgaard, Anders, 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, p. 3372-3383

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  9. Published

    CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs

    Gonzalez, Ana Valeria, Petrén Bach Hansen, V., Bingel, J. & Søgaard, Anders, 2019, Proceedings of the 13th International Workshop on Semantic Evaluation. Association for Computational Linguistics, p. 169-174

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    Comparing Unsupervised Word Translation Methods Step by Step

    Hartmann, M., Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). 11 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  11. Published

    Cross-Lingual Word Embeddings

    Søgaard, Anders, Vulić, I., Ruder, S. & Faruqui, M., 2019, 2 ed. Morgan & Claypool Publishers. 132 p. (Synthesis Lectures on Human Language Technologies).

    Research output: Book/ReportBookResearchpeer-review

  12. Published

    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 p.

    Research output: Contribution to conferencePaperResearch

ID: 13266