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. 2019
  2. Published

    MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding

    Rethmeier, N. & Plank, B., 2019, Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)): RepL4NLP-2019. Florence: Association for Computational Linguistics, p. 49-54

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

  3. 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

  4. Published

    Offensive Language and Hate Speech Detection for Danish

    Derczynski, L., 2019.

    Research output: Contribution to conference - NOT published in proceeding or journal › Paper › Research

  5. Published

    Political Stance in Danish

    Lehmann, R. & Derczynski, L., 2019, Proceedings of the Nordic Conference of Computational Linguistics (2019). Linköping University Electronic Press, p. 197–207 (NEALT (Northern European Association of Language Technology) Proceedings Series).

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

  6. Published

    Recurrent models and lower bounds for projective syntactic decoding

    Schluter, N., 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, Vol. Volume 1 (Long and Short Papers). p. 251-260 10 p.

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

  7. Published

    The Lacunae of Danish Natural Language Processing

    Kirkedal, A. S., Plank, B., Derczynski, L. & Schluter, N., 2019, Proceedings of the Nordic Conference of Computational Linguistics (2019). Linköping University Electronic Press, p. 356–362 (NEALT (Northern European Association of Language Technology) Proceedings Series).

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

  8. 2018
  9. Published

    IUCM at SemEval-2018 Task 11: Similar-Topic Texts as a Comprehension Knowledge Source

    Reznikova, S. & Derczynski, L., 2018, Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018). Association for Computational Linguistics, p. 1068-1072

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

  10. Published

    Stance Prediction for Russian: Data and Analysis

    Lozhnikov, N., Derczynski, L. & Mazzara, M., 2018, Proceedings of 6th International Conference in Software Engineering for Defence Applications: SEDA 2018. Springer, p. 176-186 (Advances in Intelligent Systems and Computing, Vol. 925).

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

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