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

    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 chapterArticle in proceedingsResearchpeer-review

  3. 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

  4. 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

  5. Published

    Cross-Lingual Cross-Domain Nested Named Entity Evaluation on English Web Texts

    Plank, B., 2021, Findings of ACL 2021. Association for Computational Linguistics, p. 1808 1815 p.

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

  6. 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 chapterArticle in proceedingsResearchpeer-review

  7. 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

  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 chapterArticle in proceedingsResearchpeer-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 chapterArticle in proceedingsResearchpeer-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 chapterArticle in proceedingsResearchpeer-review

  11. 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