Meet the members of the section
Natural Language Processing
Welcome to the NLP section. We research methods to automatically process, understand as well as generate text, typically using statistical models and machine learning. Applications of such methods include automatic fact-checking, machine translation, question answering, and visually-grounded language learning. We are part of the SCIENCE AI centre at the University of Copenhagen.
Our research is on natural language processing, spanning core as well as emerging topics in natural language processing, natural language understanding, computational linguistics and multi-modal language processing.
Core Natural Language ProcessingWe research core tasks in natural language understanding, including meaning representations for linguistically general and cross-lingual natural language processing, parsing and transfer learning.
Natural Language UnderstandingWe research natural language understanding and learning with limited labelled data, including misinformation detection and explainable AI.
We offer courses for the bachelor's programmes in Computer Science, Machine Learning and Data Science and Communication & IT as well as the master's programme in Computer Science. For the MSc programme we suggest the Language Technologies study track.
The following courses are offered/planned in the academic year 2022/2023:
- Advanced Deep Learning (ADL)
- Advanced Topics in Natural Language Processing (ATNLP) *
- Data Mining and Visualization of Networked Communication *
- Fair and Transparent Machine Learning Methods (FTML) *
- Introduction to Data Science (IDS) *
- Natural Language Processing (NLP) *
* The NLP section is course responsible