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

    What do You Mean by Relation Extraction?
 A Survey on Datasets and Study on Scientific Relation Classification

    Bassignana, E. & Plank, B., 2022, The 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop. Dublin, Ireland: Association for Computational Linguistics, Vol. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop. p. 67–83 17 p.

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

  2. Published

    SkillSpan: Hard and Soft Skill Extraction from English Job Postings

    Zhang, M., Jensen, K. N., Sonniks, S. D. & Plank, B., 9 Jul 2022, 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics. Association for Computational Linguistics

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

  3. Published

    Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning

    Zhang, M., Jensen, K. N. & Plank, B., 16 Jun 2022, 13th International Conference on Language Resources and Evaluation. European Language Resources Association (ELRA), p. 436-447 11 p.

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

  4. 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

  5. Published

    DanFEVER: claim verification dataset for Danish

    Nørregaard, J. & Derczynski, L., 1 Jun 2021, Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa). Northern European Association for Language Technology (NEALT)

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

  6. Published

    The Danish Gigaword Corpus

    Derczynski, L., Ciosici, M. R., Baglini, R., Christiansen, M., Dalsgaard, J. A., Fusaroli, R., Henrichsen, P. J., Hvingelby, R., Kirkedal, A. S., Kjeldsen, A. S., Ladefoged, C., Nielsen, F. Å., Madsen, J., Petersen, M. L., Rystrøm, J. H. & Varab, D., 1 Jun 2021, Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa). Northern European Association for Language Technology (NEALT)

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

  7. Published

    How Universal is Genre in Universal Dependencies?

    Müller-Eberstein, M., van der Goot, R. & Plank, B., Dec 2021, Proceedings of the 20th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2021). Sofia, Bulgaria: Association for Computational Linguistics, p. 69-85

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

  8. Published

    Unsupervised discovery of unaccusative and unergative verbs

    Loáiciga, S., Bevacqua, L. & Hardmeier, C., 2021.

    Research output: Working paperPreprintResearch

  9. Published

    How to write a bias statement: Recommendations for submissions to the Workshop on Gender Bias in NLP

    Hardmeier, C., Costa-jussà, M. R., Webster, K., Radford, W. & Blodgett, S. L., 2021.

    Research output: Working paperPreprintResearch

  10. Published

    Proceedings of the Third Workshop on Gender Bias in Natural Language Processing

    Costa-jussà, M. R. (ed.), Gonen, H. (ed.), Hardmeier, C. (ed.) & Webster, K. (ed.), 2021, Association for Computational Linguistics.

    Research output: Book / Anthology / Report / Ph.D. thesisAnthologyResearchpeer-review

Previous 1 2 3 4 5 6 7 8 9 Next