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
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
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
Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality
Bassignana, E., Nissim, M. & Patti, V., 2020, Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media. Association for Computational Linguistics, p. 11-22Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- 2019
- Published
Misinformation on Twitter During the Danish National Election: A Case Study
Derczynski, L., Albert-Lindqvist, T. O., Bendsen, M. V., Inie, N., Pedersen, J. E. & Pedersen, V. D., 4 Oct 2019, Proceedings of the conference on Truth and Trust Online.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
An In-depth Analysis of the Effect of Lexical Normalization on the Dependency Parsing of Social Media
van der Goot, R., Oct 2019, Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019). Hong Kong, China: Association for Computational Linguistics, p. 115–120 5 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
CiteTracked: A Longitudinal Dataset of Peer Reviews and Citations
Plank, B. & van Dalen, R., 25 Jul 2019, 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019). Chandrasekaran, M. K. & Mayr, P. (eds.). urn:nbn:de:0074-2414-3 ed. CEUR Workshop Proceedings, Vol. Vol-2414. p. 116-122 (CEUR Workshop Proceedings, Vol. 2414).Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering
Greco, C., Plank, B., Fernandez, R. & Bernardi, R., Jul 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Florence: Association for Computational Linguistics, p. 3601–3605Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
Simple Natural Language Processing Tools for Danish
Derczynski, L., 27 Jun 2019.Research output: Contribution to conference - NOT published in proceeding or journal › Paper › Research
- Published
SemEval-2019 Task 7: RumourEval 2019: Determining Rumour Veracity and Support for Rumours
Gorrell, G., Kochkina, E., Liakata, M., Aker, A., Zubiaga, A., Bontcheva, K. & Derczynski, L., 7 Jun 2019, Proceedings of the 13th International Workshop on Semantic Evaluation: NAACL HLT 2019. Association for Computational Linguistics, p. 845-854Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review