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. 2021
  2. 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

  3. Published

    Exploring the importance of source text in automatic post-editing for context-aware machine translation

    Wang, C., Hardmeier, C. & Sennrich, R., 2021, Proceedings of the 23rd Nordic Conference on Computational Linguistics (NODALIDA). Linköping University Electronic Press, p. 326-335

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

  4. Published

    Finding the needle in a haystack: Extraction of Informative COVID-19 Danish Tweets

    Olsen, B. A. & Plank, B., 2021, Proceedings of the 2021 EMNLP Workshop W-NUT: The Seventh Workshop on Noisy User-generated Text. Association for Computational Linguistics, p. 11–19

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

  5. Published

    From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding

    van der Goot, R., Sharaf, I., Imankulova, A., Üstün, A., Stepanovic, M., Ramponi, A., Khairunnisa, S. O., Komachi, M. & Plank, B., 2021, Proceedings of NAACL. Association for Computational Linguistics

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

  6. Published

    How to write a bias statement: Recommendations for submissions to the Workshop on Gender Bias in NLP

    Hardmeier, C., Costa-jussà, M. R., Webster, K., Radford, W. & Blodgett, S. L., 2021.

    Research output: Working paperPreprintResearch

  7. Published

    Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP

    van der Goot, R., Üstün, A., Ramponi, A., Sharaf, I. & Plank, B., 2021, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics, p. 176-197

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

  8. 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

  9. 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

  10. 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

  11. Published

    Spurious Correlations in Cross-Topic Argument Mining

    Jakobsen, T. S. T., Barrett, M. J. & Søgaard, A., 2021, Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics. Association for Computational Linguistics, p. 263-277 9 p.

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