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.
Research outputs (83)
- Published
Event and entity coreference across five European languages: Effects of context and referring expression
Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- Published
PROCAT: Product Catalogue Dataset for Implicit Clustering, Permutation Learning and Structure Prediction
Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
How Universal is Genre in Universal Dependencies?
Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Prizes (3)
Outstanding paper award, EACL 2021 demo track
Prize: Prizes, scholarships, distinctions
Amazon Research Award
Prize: Prizes, scholarships, distinctions
Outstanding Area Chair
Prize: Prizes, scholarships, distinctions
Research Activities (32)
Climate change and large-scale language models
Activity: Talk or presentation types › Lecture and oral contribution
PEOPLES - THIRD WORKSHOP ON COMPUTATIONAL MODELING OF PEOPLE’S OPINIONS, PERSONALITY, AND EMOTIONS IN SOCIAL MEDIA
Activity: Participating in or organising an event types › Organisation and participation in conference
European Natural Language Processing Summit (EurNLP)
Activity: Participating in or organising an event types › Organisation and participation in conference
Press (63)
META AI åbner sin large language model for offentligheden
Press/Media: Press / Media
Ugens data: Systematic godkendt til slagmarken
Press/Media: Press / Media