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
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
Buhscitu at SemEvaL-2020 Task 7: Assessing Humour in Edited News Headlines using Hand-Crafted Features and Online Knowledge Bases
Jensen, K. N., Filrup Rasmussen, N., Wang, T., Placenti, M. & Plank, B., 2020, SemEval. 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
SHR++: An Interface for Morpho-syntactic annotation of Sanskrit Corpora
Krishna, A., Vidhyut, S., Chawla, D., Sambhavi, S. & Goyal, P., Feb 2020, Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020),. Association for Computational Linguistics, p. 7069–7076Research 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
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