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.
- 2020
- Published
One of these words is not like the other: a reproduction of outlier identification using non-contextual word representations
Brink Andersen, J., Bak Bertelsen, M., Hørby Schou, M., Ciosici, M. R. & Assent, I., Nov 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing and the 10th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . Association for Computational Linguistics, 11 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
Maintaining quality in FEVER annotation
Schulte, H., Binau, J. & Derczynski, L., 9 Jul 2020, Proceedings of the Third Workshop on Fact Extraction and VERification (FEVER): Association for Computational Linguistics. Association for Computational Linguistics, p. 42-46Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
Accelerated High-Quality Mutual-Information Based Word Clustering
Ciosici, M. R., Assent, I. & Derczynski, L., 1 May 2020, Proceedings of The 12th Language Resources and Evaluation Conference. Marseille, France: European Language Resources Association, p. 2484-2489 6 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
Offensive Language and Hate Speech Detection for Danish
Sigurbergsson, G. & Derczynski, L., 1 May 2020, Proceedings of the International Conference on Language Resources and Evaluation: LREC 2020. European Language Resources Association, p. 3498–3508Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- 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 chapter › Article in proceedings › Research › peer-review
- Published
Norm It! Lexical Normalization for Italian and Its Downstream Effects forDependency Parsing
van der Goot, R., Ramponi, A., Caselli, T., Cafagna, M. & De Mattei, L., May 2020, Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020). France: European Language Resources Association (ELRA), p. 6272–6278Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
Synthetic Data for English Lexical Normalization: How Close Can We Get to Manually Annotated Data?
Dekker, K. & van der Goot, R., May 2020, Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020). European Language Resources Association, p. 6300-6309Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
DaNewsroom: A Large-scale Danish Summarisation Dataset
Varab, D. & Schluter, N., Apr 2020, Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). European Language Resources Association, p. 6731–6739Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
The Rumour Mill: Making the Spread of Misinformation Explicit and Tangible
Inie, N., Falk Olesen, J. & Derczynski, L., Apr 2020, The ACM CHI Conference on Human Factors in Computing Systems. Association for Computing MachineryResearch output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
Mental health-related conversations on social media and crisis episodes: a time-series regression analysis
Kolliakou, A., Bakolis, I., Chandran, D., Derczynski, L., Werbeloff, N., Osborn, D. PJ., Bontcheva, K. & Rob, S., Feb 2020, In: Scientific Reports. 10, 1342.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review