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. 2021
  2. 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

  3. Published

    An IDR Framework of Opportunities and Barriers between HCI and NLP

    Inie, N. & Derczynski, L., 20 Apr 2021, Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing: HCINLP. Association for Computational Linguistics, p. 101-108

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

  4. Published

    Discriminating Between Similar Nordic Languages

    Haas, R. & Derczynski, L., 20 Apr 2021, Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects. Association for Computational Linguistics, p. 67–75

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

  5. Published

    On the Effectiveness of Dataset Embeddings in Mono-lingual, Multi-lingual and Zero-shot Conditions

    van der Goot, R., Üstün, A. & Plank, B., Apr 2021, Proceedings of the Second Workshop on Domain Adaptation for NLP: EACL 2021 workshop. Association for Computational Linguistics, p. 183–194

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

  6. Published

    Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP

    van der Goot, R., Üstün, A., Ramponi, A., Sharaf, I. & Plank, B., 2021, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics, p. 176-197

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

  7. 2020
  8. Published

    Directions in abusive language training data, a systematic review: Garbage in, garbage out

    Vidgen, B. & Derczynski, L., 28 Dec 2020, In: PLOS ONE. 15, 12, e0243300.

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

  9. 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

  10. Published

    Detection and Resolution of Rumors and Misinformation with NLP

    Derczynski, L. & Zubiaga, A., Dec 2020, Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts. Barcelona, Spain (Online): Association for Computational Linguistics, p. 22-26

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

  11. 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

  12. Published

    SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

    Zampieri, M., Nakov, P., Rosenthal, S., Atanasova, P., Karadzhov, G., Mubarak, H., Derczynski, L., Pitenis, Z. & Coltekin, C., Dec 2020, Proceedings of the Fourteenth Workshop on Semantic Evaluation. Barcelona (online): Association for Computational Linguistics, p. 1425-1447 23 p.

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

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