Anders Søgaard

Anders Søgaard

Professor

ORCID: 0000-0001-5250-4276

Udgivelsesår:
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  1. 2019
  2. Udgivet

    X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension

    Abdou, M., Sas, C., Aralikatte, R., Augenstein, Isabelle & Søgaard, Anders, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019). Association for Computational Linguistics, s. 265-274

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

  3. Udgivet

    Rewarding Coreference Resolvers for Being Consistent with World Knowledge

    Aralikatte, R., Lent, H., Gonzalez, Ana Valeria, Hershcovich, Daniel, Qiu, C., Sandholm, A., Ringaard, M. & Søgaard, Anders, 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, s. 1229-1235

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

  4. Udgivet

    Adversarial Removal of Demographic Attributes Revisited

    Barrett, M., Kementchedjhieva, Yova Radoslavova, Elazar, Y., Elliott, Desmond & Søgaard, Anders, 1 nov. 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, s. 6329-6334 6 s.

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

  5. Udgivet

    Naive regularizers for low-resource neural machine translation

    Beloucif, M., Gonzalez, Ana Valeria, Bollmann, M. & Søgaard, Anders, 2019, International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings. Angelova, G., Mitkov, R., Nikolova, I., Temnikova, I. & Temnikova, I. (red.). Incoma Ltd, s. 102-111 10 s.

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

  6. 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: Konferencebidrag › Paper › Forskning

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

  8. Udgivet

    Predicting Concrete and Abstract Entities in Modern Poetry

    Caccavale, F. & Søgaard, Anders, 2019, Proceedings of 33nd AAAI Conference on Artificial Intelligence, AAAI 2019. AAAI Press, s. 858-864

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

  9. Udgivet

    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, s. 2418-2427

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

  10. Udgivet

    Historical Text Normalization with Delayed Rewards

    Flachs, S., Bollmann, M. & Søgaard, Anders, 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, s. 1614-1619

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

  11. Udgivet

    Noisy Channel for Low Resource Grammatical Error Correction

    Flachs, S., Lacroix, O. & Søgaard, Anders, 2019, Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications. Association for Computational Linguistics, s. 191-196

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

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ID: 13266