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.
- 2019
- Published
Proceedings of the 22nd Nordic Conference on Computational Linguistics
Hartmann, M. (ed.) & Plank, B. (ed.), 1 Jun 2019, Turku, Finland: Linköping University Electronic Press. (NEALT (Northern European Association of Language Technology) Proceedings Series; No. 42).Research output: Book / Anthology / Report / Ph.D. thesis › Anthology › Research › peer-review
- Published
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat
Shekhar, R., Venkatesh, A., Baumgärtner, T., Bruni, E., Plank, B., Raffaella Bernardi & Raquel Fernández, Jun 2019, NAACL (North American Association for Computational Linguistics). Minneapolis: Association for Computational LinguisticsResearch 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
- Published
At a Glance: The Impact of Gaze Aggregation Views on Syntactic Tagging
Klerke, S. & Plank, B., 2019, The First Workshop Beyond Vision and LANguage: inTEgrating Real-World kNowledge : EMNLP-IJCNLP Workshop. Hong Kong: Association for Computational Linguistics, p. 51–61Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- 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
Lexical Resources for Low-Resource PoS Tagging in Neural Times
Plank, B. & Klerke, S., 2019, Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa’19) . Association for Computational Linguistics, p. 25–34 (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
Measuring Catastrophic Forgetting in Visual Question Answering
Greco, C., Plank, B., Fernandez, R. & Bernardi, R., 2019, Tenth International Workshop on Spoken Dialogue Systems Technology (IWSDS) 2019: Lecture Notes in Electrical Engineering book series (LNEE, volume 714). Springer, p. 381 387 p. (Lecture Notes in Electrical Engineering, Vol. 714).Research output: Conference Article in Proceeding or Book/Report chapter › Book chapter › Research › peer-review
- Published
MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding
Rethmeier, N. & Plank, B., 2019, Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)): RepL4NLP-2019. Florence: Association for Computational Linguistics, p. 49-54Research 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