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. 2020
  2. Published

    Offensive Language and Hate Speech Detection for Danish

    Sigurbergsson, G. & Derczynski, L., 1 May 2020, Proceedings of the International Conference on Language Resources and Evaluation: LREC 2020. European Language Resources Association, p. 3498–3508

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

  3. Published

    Norm It! Lexical Normalization for Italian and Its Downstream Effects forDependency Parsing

    van der Goot, R., Ramponi, A., Caselli, T., Cafagna, M. & De Mattei, L., May 2020, Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020). France: European Language Resources Association (ELRA), p. 6272–6278

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

  4. Published

    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, p. 6731–6739

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

  5. Published

    SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

    Zampieri, M., Nakov, P., Rosenthal, S., Atanasova, P., Karadzhov, G., Mubarak, H., Derczynski, L., Pitenis, Z. & Coltekin, C., Dec 2020, Proceedings of the Fourteenth Workshop on Semantic Evaluation. Barcelona (online): Association for Computational Linguistics, p. 1425-1447 23 p.

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

  6. 2021
  7. Published

    Event and entity coreference across five European languages: Effects of context and referring expression

    Bevacqua, L., Loáiciga, S., Rohde, H. & Hardmeier, C., 18 Dec 2021, In: Dialogue and Discourse.

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  8. Published

    Decoding EEG brain activity for multi-modal natural language processing

    Hollenstein, N., Renggli, C., Glaus, B., Barrett, M. J., Troendle, M., Langer, N. & Zhang, C., 2021, In: Frontiers in Human Neuroscience. 15, 659410.

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  9. Published

    Set-to-Sequence Methods in Machine Learning: A Review

    Jurewicz, M. & Derczynski, L., 12 Aug 2021, In: The Journal of Artificial Intelligence Research. 71, p. 885-924

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  10. 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

  11. 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

  12. 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