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. Journal article
  2. Published

    Sequence labelling and sequence classification with gaze: Novel uses of eye‐tracking data for Natural Language Processing

    Barrett, M. J. & Hollenstein, N., 5 Nov 2020, In: Language and Linguistics Compass. 14, 11, p. 1-16 16 p.

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

  3. 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

  4. 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

  5. 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

  6. Published

    Mental health-related conversations on social media and crisis episodes: a time-series regression analysis

    Kolliakou, A., Bakolis, I., Chandran, D., Derczynski, L., Werbeloff, N., Osborn, D. PJ., Bontcheva, K. & Rob, S., Feb 2020, In: Scientific Reports. 10, 1342.

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

  7. Published

    Normalisation of imprecise temporal expressions extracted from text

    Tissot, H., Roberts, A., Derczynski, L. & Didonet Del Fabro, M., 2019, In: Knowledge and Information Systems. p. 1-34

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

  8. Published

    Directions in abusive language training data, a systematic review: Garbage in, garbage out

    Vidgen, B. & Derczynski, L., 28 Dec 2020, In: PLOS ONE. 15, 12, e0243300.

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

  9. Anthology
  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

    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

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