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. 

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  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 Journal › Journal article › Research › peer-review

  3. 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 Journal › Journal article › Research › peer-review

  4. 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 Journal › Journal article › Research › peer-review

  5. 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 Journal › Journal article › Research › peer-review

  6. 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 Journal › Journal article › Research › peer-review

  7. Anthology
  8. 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. thesis › Anthology › Research › peer-review

  9. Article in proceedings
  10. Published

    We Need to Consider Disagreement in Evaluation

    Basile, V., Fell, M., Fornaciari, T., Hovy, D., Paun, S., Plank, B., Poesio, M. & Uma, A., 2021, ACL-IJCNLP2021 Workshop on Benchmarking: Past, Present and Future. Association for Computational Linguistics, p. 15-21

    Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  11. Published

    Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality

    Bassignana, E., Nissim, M. & Patti, V., 2020, Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media. Association for Computational Linguistics, p. 11-22

    Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  12. Published

    Challenges in Annotating and Parsing Spoken, Code-switched, Frisian-Dutch Data

    Braggaar, A. & van der Goot, R., Apr 2021, Proceedings of the Second Workshop on Domain Adaptation for NLP. Association for Computational Linguistics, p. 50-58

    Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

  13. Published

    One of these words is not like the other: a reproduction of outlier identification using non-contextual word representations

    Brink Andersen, J., Bak Bertelsen, M., Hørby Schou, M., Ciosici, M. R. & Assent, I., Nov 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing and the 10th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . Association for Computational Linguistics, 11 p.

    Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

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