Natural Language Understanding

CopeNLU is a Natural Language Processing research group with a focus on researching methods for tasks that require a deep understanding of language, as opposed to shallow processing. We are interested in core methodology research on, natural language understanding and learning with limited labelled data, including misinformation detection and explainable AI. More information on members, projects, papers etc. can be found on CopeNLU's external website.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Understanding the Effects of NLP-Based Trading Algorithms (2021-2026)
Villum Synergy Grant
Led by Isabelle Augenstein

Privacy Black & White (2021-2024)
UCPH Data+ project
Led by Isabelle Augenstein
More information

Error and Accountability in Digitised Public Decision Making (ERRATUM) (2022-2025)
UCPH Data+ project
Led by Christina Lioma
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Learning to Explain Attitudes on Social Media (EXPANSE) (2021-2025)
Independent Research Fund Denmark, Sapere Aude Grant
Led by Isabelle Augenstein

Typologically Informed Dependency Parsing (2021 – 2023) 
Swedish Research Council, International Postdoc 
Led by Miryam de Lhoneux 

Detecting Gender-Biased Language on Social Media (2020 - 2024)
DFF, Research Project 1 (Thematic Research)
Led by Isabelle Augenstein

Structured Multilinguality for Natural Language Processing (2020 - 2023)
Swedish Research Council, Research Project Grant
Led by Robert Östling (Stockholm University)

Conceptualizing and Measuring Well-Being Using Statistical Semantics (2020 – 2022) 
Swedish Research Council, International Postdoc 
Led by Oscar Kjell

Multi3Generation: Multi-task, Multilingual, Multi-modal Language Generation (2019 - 2023)
COST Action
Led by Isabelle Augenstein
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Domain Transfer and Transfer Learning for Natural Language Processing in Life Science (2019 - 2022)
Innovation Fund Denmark, Industrial PhD Grant
Led by Isabelle Augenstein

 

 

ALMA - Advanced Language Models for Writing Assistants (2019 - 2022)
Innovation Fund Denmark, Industrial PhD Grant
Led by Peter Schneider-Kamp (University of Southern Denmark)

Subjective Question Answering (2019 - 2020)
Megagon Labs, Faculty Research Award
Led by Isabelle Augenstein

Platform for analysing and identifying attitudes, credibility and fake news in the political debate (2019 - 2020)
Innovation Fund Denmark, Innobooster
Led by Isabelle Augenstein

ReProsis: Real Time Big Data Product Analysis – Product Management System in International Markets (2016-18)
Research project funded by Eurostars
Led by Dirk Hovy and Isabelle Augenstein
More information

Accessibility Increased through Real-life Multi-lingual Artificial Intelligence (2018 - 2019)
DFF, EUopSTART
Led by Isabelle Augenstein

Towards automated fact checking of claims online (2017 - 2018)
DFF, EUopSTART
Led by Isabelle Augenstein

Natural Language Processing Seminar Series (2018 - 2019)
Centre for Communication and Computing grant
Led by Isabelle Augenstein

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

People

More people coming soon

Name Title Phone E-mail
Isabelle Augenstein Associate Professor +4593565919 E-mail