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

    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 chapterArticle in proceedingsResearchpeer-review

  3. 2019
  4. Published

    Misinformation on Twitter During the Danish National Election: A Case Study

    Derczynski, L., Albert-Lindqvist, T. O., Bendsen, M. V., Inie, N., Pedersen, J. E. & Pedersen, V. D., 4 Oct 2019, Proceedings of the conference on Truth and Trust Online.

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

  5. Published

    An In-depth Analysis of the Effect of Lexical Normalization on the Dependency Parsing of Social Media

    van der Goot, R., Oct 2019, Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019). Hong Kong, China: Association for Computational Linguistics, p. 115–120 5 p.

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

  6. Published

    CiteTracked: A Longitudinal Dataset of Peer Reviews and Citations

    Plank, B. & van Dalen, R., 25 Jul 2019, 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019). Chandrasekaran, M. K. & Mayr, P. (eds.). urn:nbn:de:0074-2414-3 ed. CEUR Workshop Proceedings, Vol. Vol-2414. p. 116-122 (CEUR Workshop Proceedings, Vol. 2414).

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

  7. 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

  8. Published

    Simple Natural Language Processing Tools for Danish

    Derczynski, L., 27 Jun 2019.

    Research output: Contribution to conference - NOT published in proceeding or journalPaperResearch

  9. 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

  10. 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

  11. Published

    Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat

    Shekhar, R., Venkatesh, A., Baumgärtner, T., Bruni, E., Plank, B., Raffaella Bernardi & Raquel Fernández, Jun 2019, NAACL (North American Association for Computational Linguistics). Minneapolis: Association for Computational Linguistics

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

  12. 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

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