
Leon Derczynski, PhD
Associate Professor
- Natural Language Processing
Research Group
- Machine Learning
Research Group
- Computer Science
Department
IT University of Copenhagen
Rued Langgaards Vej 7
DK-2300 Copenhagen S
Denmark
Building: 4F25-4T89
- Email: leod@itu.dk
Information Desk: 72185000
- 2018
Helping Crisis Responders Find the Informative Needle in the Tweet Haystack
Derczynski, L., Meesters, K., Maynard, D. & Bontcheva, K., 2018, Proceedings of the 15th ISCRAM Conference. Rochester, NY (USA): RIT Scholar Works / Rochester Institute of TechnologyResearch output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
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
- Published
Stance Prediction for Russian: Data and Analysis
Lozhnikov, N., Derczynski, L. & Mazzara, M., 2018, Proceedings of 6th International Conference in Software Engineering for Defence Applications: SEDA 2018. Springer, p. 176-186 (Advances in Intelligent Systems and Computing, Vol. 925).Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- 2019
- Published
Bornholmsk Natural Language Processing: Resources and Tools
Derczynski, L. & Kjeldsen, A. S., 2019, Proceedings of the Nordic Conference of Computational Linguistics (2019). Linköping University Electronic Press, p. 338–344 (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
- Published
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
- Published
Normalisation of imprecise temporal expressions extracted from text
Tissot, H., Roberts, A., Derczynski, L. & Didonet Del Fabro, M., 2019, In: Knowledge and Information Systems. p. 1-34Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- Published
Offensive Language and Hate Speech Detection for Danish
Derczynski, L., 2019.Research output: Contribution to conference - NOT published in proceeding or journal › Paper › Research
- Published
Political Stance in Danish
Lehmann, R. & Derczynski, L., 2019, Proceedings of the Nordic Conference of Computational Linguistics (2019). Linköping University Electronic Press, p. 197–207 (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
- Published
The Lacunae of Danish Natural Language Processing
Kirkedal, A. S., Plank, B., Derczynski, L. & Schluter, N., 2019, Proceedings of the Nordic Conference of Computational Linguistics (2019). Linköping University Electronic Press, p. 356–362 (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
- Published
Quantifying the morphosyntactic content of Brown Clusters
Ciosici, M., Derczynski, L. & Assent, I., Jun 2019, Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, Vol. 1. p. 1541–1550 N19-1157Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
ID: 82532400