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. 2020
  2. Published

    The Rumour Mill: Making the Spread of Misinformation Explicit and Tangible

    Inie, N., Falk Olesen, J. & Derczynski, L., Apr 2020, The ACM CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery

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

  3. 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 chapter › Article in proceedings › Research › peer-review

  4. Published

    FT Speech: Danish Parliament Speech Corpus

    Kirkedal, A. S., Stepanovic, M. & Plank, B., 2020, INTERSPEECH 2020. International Speech Communication Association (ISCA), (Annual Conference of the International Speech Communication Association).

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

  5. Published

    SHR++: An Interface for Morpho-syntactic annotation of Sanskrit Corpora

    Krishna, A., Vidhyut, S., Chawla, D., Sambhavi, S. & Goyal, P., Feb 2020, Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020),. Association for Computational Linguistics, p. 7069–7076

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

  6. Published

    NLP North at WNUT-2020 Task 2: Pre-training versus Ensembling for Detection of Informative COVID-19 English Tweets

    Møller, A. G., van der Goot, R. & Plank, B., Nov 2020, Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020). Association for Computational Linguistics, p. 331-336

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

  7. Published

    DAN+: Danish Nested Named Entities and Lexical Normalization

    Plank, B., Jensen, K. N. & van der Goot, R., Dec 2020, The 28th International Conference on Computational Linguistics. Association for Computational Linguistics, p. 6649–6662

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

  8. Published

    Biomedical Event Extraction as Sequence Labeling

    Ramponi, A., van der Goot, R., Lombardo, R. & Plank, B., Nov 2020, Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics

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

  9. Published

    Cross-Domain Evaluation of Edge Detection for Biomedical Event Extraction

    Ramponi, A., Plank, B. & Lombardo, R., May 2020, Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020). European Language Resources Association, p. 1975 1982 p.

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

  10. Published

    Neural Unsupervised Domain Adaptation in NLP—A Survey

    Ramponi, A. & Plank, B., Dec 2020, The 28th International Conference on Computational Linguistics. Association for Computational Linguistics

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

  11. Published

    Maintaining quality in FEVER annotation

    Schulte, H., Binau, J. & Derczynski, L., 9 Jul 2020, Proceedings of the Third Workshop on Fact Extraction and VERification (FEVER): Association for Computational Linguistics. Association for Computational Linguistics, p. 42-46

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

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