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. Paper › Research › Not peer-reviewed
  2. Published

    Offensive Language and Hate Speech Detection for Danish

    Derczynski, L., 2019.

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

  3. Published

    Simple Natural Language Processing Tools for Danish

    Derczynski, L., 27 Jun 2019.

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

  4. Article in proceedings › Communication
  5. Published

    Measuring Catastrophic Forgetting in Visual Question Answering

    Greco, C., Plank, B., Fernandez, R. & Bernardi, R., 2019, Tenth International Workshop on Spoken Dialogue Systems Technology (IWSDS) 2019.

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsCommunication

  6. Article in proceedings › Research › Peer-reviewed
  7. Published

    Accelerated High-Quality Mutual-Information Based Word Clustering

    Ciosici, M. R., Assent, I. & Derczynski, L., 1 May 2020, Proceedings of The 12th Language Resources and Evaluation Conference. Marseille, France: European Language Resources Association, p. 2484-2489 6 p.

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

  8. 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

  9. Published

    At a Glance: The Impact of Gaze Aggregation Views on Syntactic Tagging

    Klerke, S. & Plank, B., 2019, The First Workshop Beyond Vision and LANguage: inTEgrating Real-World kNowledge : EMNLP-IJCNLP Workshop. Hong Kong: Association for Computational Linguistics, p. 51–61

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

  10. 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

  11. Published

    Bornholmsk Natural Language Processing: Resources and Tools

    Derczynski, L. & Kjeldsen, A. S., 2019, Proceedings of the Nordic Conference of Computational Linguistics (2019). Linköping University Electronic Press, p. 338–344 (NEALT (Northern European Association of Language Technology) Proceedings Series).

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

  12. Published

    Buhscitu at SemEvaL-2020 Task 7: Assessing Humour in Edited News Headlines using Hand-Crafted Features and Online Knowledge Bases

    Jensen, K. N., Filrup Rasmussen, N., Wang, T., Placenti, M. & Plank, B., 2020, SemEval. Association for Computational Linguistics

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

  13. 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

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