ITU

Natural Language Processing

Organisational unit: Research Group

IT University of Copenhagen
Rued Langgaards Vej 7
DK-2300 Copenhagen S
Denmark

Contact information

Organisation profile

Natural Language Processing (NLP) uses machine learning and other techniques to parse, analyse, translate and understand texts in human languages such as English or Danish. The work of ITU NLP researchers include transfer learning, representation learning, analysis of clinical patient records, automatic summarization, corpora building, stance detection, fake news analysis, and much more. 

  1. Published

    Political Stance in Danish

    Lehmann, R. & Derczynski, L., 2019, Proceedings of the Nordic Conference of Computational Linguistics (2019). Linköping University Electronic Press, p. 197–207 (NEALT (Northern European Association of Language Technology) Proceedings Series).

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  2. Published

    PROCAT: Product Catalogue Dataset for Implicit Clustering, Permutation Learning and Structure Prediction

    Jurewicz, M. & Derczynski, L., 1 Dec 2021, Thirty-fifth Conference on Neural Information Processing Systems: Datasets and Benchmarks Track. 2021 ed. Vol. 1.

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  3. Published

    Proceedings of the 22nd Nordic Conference on Computational Linguistics

    Hartmann, M. (ed.) & Plank, B. (ed.), 1 Jun 2019, Turku, Finland: Linköping University Electronic Press. (NEALT (Northern European Association of Language Technology) Proceedings Series; No. 42).

    Research output: Book / Anthology / Report / Ph.D. thesisAnthologyResearchpeer-review

  4. Published

    Proceedings of the Second Workshop on Computational Approaches to Discourse (CODI)

    Braud, C. (ed.), Hardmeier, C. (ed.), Li, J. J. (ed.), Louis, A. (ed.), Strube, M. (ed.) & Zeldes, A. (ed.), 2021, Association for Computational Linguistics.

    Research output: Book / Anthology / Report / Ph.D. thesisAnthologyResearchpeer-review

  5. Published

    Proceedings of the Third Workshop on Gender Bias in Natural Language Processing

    Costa-jussà, M. R. (ed.), Gonen, H. (ed.), Hardmeier, C. (ed.) & Webster, K. (ed.), 2021, Association for Computational Linguistics.

    Research output: Book / Anthology / Report / Ph.D. thesisAnthologyResearchpeer-review

  6. Published

    Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering

    Greco, C., Plank, B., Fernandez, R. & Bernardi, R., Jul 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Florence: Association for Computational Linguistics, p. 3601–3605

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  7. Published

    Quantifying the morphosyntactic content of Brown Clusters

    Ciosici, M., Derczynski, L. & Assent, I., Jun 2019, Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, Vol. 1. p. 1541–1550 N19-1157

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  8. Published

    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, Vol. Volume 1 (Long and Short Papers). p. 251-260 10 p.

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  9. Published

    Resources and Evaluations for Danish Entity Resolution

    Barrett, M. J., Lam, H., Wu, M., Lacroix, O., Plank, B. & Søgaard, A., 2021, Fourth Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC). Association for Computational Linguistics, p. 63–69

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  10. Published

    SemEval-2019 Task 7: RumourEval 2019: Determining Rumour Veracity and Support for Rumours

    Gorrell, G., Kochkina, E., Liakata, M., Aker, A., Zubiaga, A., Bontcheva, K. & Derczynski, L., 7 Jun 2019, Proceedings of the 13th International Workshop on Semantic Evaluation: NAACL HLT 2019. Association for Computational Linguistics, p. 845-854

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

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