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. Article in proceedings
  2. Published

    Lexical Resources for Low-Resource PoS Tagging in Neural Times

    Plank, B. & Klerke, S., 2019, Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa’19) . Association for Computational Linguistics, p. 25–34 (NEALT (Northern European Association of Language Technology) Proceedings Series).

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

  3. Published

    Hyperparameter Power Impact in Transformer Language Model Training

    Puvis de Chavannes, L. H., Kongsbak, M. G. K., Rantzau, T. & Derczynski, L., 1 Nov 2021, Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing. Association for Computational Linguistics

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

  4. 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 chapterArticle in proceedingsResearchpeer-review

  5. 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 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

    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

  8. 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 chapterArticle in proceedingsResearchpeer-review

  9. Published

    A mention-based system for revision requirements detection

    Ruby, A., Hardmeier, C. & Stymne, S., 2021, Proceedings of the First Workshop on Understanding Implicit and Underspecified Language (UnImplicit). Association for Computational Linguistics, p. 58-63

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

  10. Published

    Abusive Language Recognition in Russian

    Saitov, K. & Derczynski, L., 20 Apr 2021, Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing. Association for Computational Linguistics, p. 20-25

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

  11. 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 chapterArticle in proceedingsResearchpeer-review