Natural Language Processing
Organisational unit: Research Group
IT University of Copenhagen
Rued Langgaards Vej 7
DK-2300 Copenhagen S
Denmark
Contact information
- Web: http://nlp.itu.dk
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.
- Published
Exploring the importance of source text in automatic post-editing for context-aware machine translation
Wang, C., Hardmeier, C. & Sennrich, R., 2021, Proceedings of the 23rd Nordic Conference on Computational Linguistics (NODALIDA). Linköping University Electronic Press, p. 326-335Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
Finding the needle in a haystack: Extraction of Informative COVID-19 Danish Tweets
Olsen, B. A. & Plank, B., 2021, Proceedings of the 2021 EMNLP Workshop W-NUT: The Seventh Workshop on Noisy User-generated Text. Association for Computational Linguistics, p. 11–19Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding
van der Goot, R., Sharaf, I., Imankulova, A., Üstün, A., Stepanovic, M., Ramponi, A., Khairunnisa, S. O., Komachi, M. & Plank, B., 2021, Proceedings of NAACL. Association for Computational LinguisticsResearch output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
FT Speech: Danish Parliament Speech Corpus
Kirkedal, A. S., Stepanovic, M. & Plank, B., 2020, INTERSPEECH 2020. International Speech Communication Association (ISCA), (Annual Conference of the International Speech Communication Association).Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
Genre as Weak Supervision for Cross-lingual Dependency Parsing
Müller-Eberstein, M., van der Goot, R. & Plank, B., Nov 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Online and Punta Cana, Dominican Republic: Association for Computational Linguistics, p. 4786-4802Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- 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 paper › Preprint › Research
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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. 69-85Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- 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 LinguisticsResearch output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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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. 1068-1072Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Joint Rumour Stance and Veracity Prediction
Edelbo Lillie, A., Middelboe, E. R. & Derczynski, L., 2019, Nordic Conference of Computational Linguistics (2019). Linköping University Electronic Press, p. 208–221 (NEALT (Northern European Association of Language Technology) Proceedings Series).Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review