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Personlig profil

Emneord

  • Data science
  • Natural language processing
  • Algorithms and machine learning

Fingeraftryk

Dyk ned i forskningsemnerne, hvor Natalie Schluter er aktive. Disse emneetiketter kommer fra dennes persons arbejder. Sammen danner de et unikt fingerprint.
  • 1 Lignende profiler
  • DaNewsroom: A Large-scale Danish Summarisation Dataset

    Varab, D. & Schluter, N., apr. 2020, Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). European Language Resources Association, s. 6731–6739

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

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  • Recurrent models and lower bounds for projective syntactic decoding

    Schluter, N., 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, Bind Volume 1 (Long and Short Papers). s. 251-260 10 s.

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

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  • The Lacunae of Danish Natural Language Processing

    Kirkedal, A. S., Plank, B., Derczynski, L. & Schluter, N., 2019, Proceedings of the Nordic Conference of Computational Linguistics (2019). Linköping University Press, s. 356–362 (NEALT (Northern European Association of Language Technology) Proceedings Series).

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

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  • Baselines and test data for cross-lingual inference

    Agic, Z. & Schluter, N., 7 maj 2018, Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). European Language Resources Association, s. 3890-3894 5 s.

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

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  • The glass ceiling in NLP

    Schluter, N., 31 okt. 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, s. 2793-2798 6 s.

    Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

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