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
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
- 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
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. 22-26Research 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
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 chapter › Article in proceedings › Research › peer-review
- Published
Sequence labelling and sequence classification with gaze: Novel uses of eye‐tracking data for Natural Language Processing
Barrett, M. J. & Hollenstein, N., 5 Nov 2020, In: Language and Linguistics Compass. 14, 11, p. 1-16 16 p.Research output: Journal Article or Conference Article in Journal › Journal article › 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
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
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