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. 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

  2. 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

  3. Published

    Mental health-related conversations on social media and crisis episodes: a time-series regression analysis

    Kolliakou, A., Bakolis, I., Chandran, D., Derczynski, L., Werbeloff, N., Osborn, D. PJ., Bontcheva, K. & Rob, S., Feb 2020, In: Scientific Reports. 10, 1342.

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  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

    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 chapterArticle in proceedingsResearchpeer-review

  6. 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 chapterArticle in proceedingsResearchpeer-review

  7. 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 chapterArticle in proceedingsResearchpeer-review

  8. Published

    Norm It! Lexical Normalization for Italian and Its Downstream Effects forDependency Parsing

    van der Goot, R., Ramponi, A., Caselli, T., Cafagna, M. & De Mattei, L., May 2020, Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020). France: European Language Resources Association (ELRA), p. 6272–6278

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

  9. 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 JournalJournal articleResearchpeer-review

  10. Published

    Offensive Language and Hate Speech Detection for Danish

    Derczynski, L., 2019.

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