Research output per year
Research output per year
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.
Person: VIP
Person: VIP
Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Plank, Barbara (Recipient), 15 Jan 2019
Prize: Prizes, scholarships, distinctions
van der Goot, Rob (Recipient), Vielsted, Marcus (Recipient) & Wallenius, Nikolaj (Recipient), 22 Oct 2022
Prize: Prizes, scholarships, distinctions
Natalie Schluter (Other (please specify))
Activity: Participating in or organising an event types › Organisation and participation in conference
Leon Derczynski (Program co-chair)
Activity: Participating in or organising an event types › Organisation and participation in conference
Leon Derczynski (Member)
Activity: Membership types › Membership in committee, council, board
04/11/2023
1 Media contribution
Press/Media: Press / Media
25/09/2023
1 Media contribution
Press/Media: Press / Media
22/09/2023
1 Media contribution
Press/Media: Press / Media