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
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. 331-336Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- 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. 6649–6662Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- 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 LinguisticsResearch 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
Neural Unsupervised Domain Adaptation in NLP—A Survey
Ramponi, A. & Plank, B., Dec 2020, The 28th International Conference on Computational Linguistics. Association for Computational LinguisticsResearch 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
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
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
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
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 Journal › Journal article › Research › peer-review