Isabelle Augenstein

I am an associate professor at the University of Copenhagen, Department of Computer Science, where I head the Copenhagen Natural Language Understanding research group as well as the Natural Language Processing section. My main research interests are fact checking, low-resource learning and explainability.

Before starting a faculty position, I was a postdoctoral research associate in Sebastian Riedel's UCL Machine Reading group, mainly investigating machine reading from scientific articles. Prior to that, I was a Research Associate in the Sheffield NLP group, a PhD Student in the University of Sheffield Computer Science department, a Research Assistant at AIFB, Karlsruhe Institute of Technology and a Computational Linguistics undergraduate student at the Department of Computational Linguistics, Heidelberg University.

I currently hold a prestigious DFF Sapere Aude Research Leader fellowship on 'Learning to Explain Attitudes on Social Media', and am a member of the Danish Young Academy, a unit under the Royal Danish Academy of Sciences and Letters. I am also President of the ACL Special Interest Group on Representation Learning (SIGREP) which organises the Repl4NLP workshop series, and Vice President-Elect of SIGDAT which organises the EMNLP conference series. I am a co-founder of Widening NLP (WiNLP), and maintain the BIG Directory of members of underrepresented groups and supporters in Natural Language Processing.

For more details, see my publications and CV. More information on how to join us in Copenhagen can be found here.

News

• April 2022: 3 papers accepted to NAACL 2022, on counterfactual data augmentation, probing multilingual language models, and on stance detection!
• April 2022: Happy to share that our paper Fact Checking with Insufficient Evidence was accepted for publication in the TACL journal!
• February 2022: I left my part-time position as Deputy Head of Research and founding employee at the content moderation start-up Checkstep Ltd
• February 2022: Our paper on "Generating Scientific Claims for Automatic Scientific Fact Checking" was accepted to ACL 2022!
• January 2022: I will serve as a SIGDAT officer for the next three years, for this year in a role as Vice President-Elect. Thank you to everyone who voted for me!
• December 2021: Happy to share that our paper A Neighbourhood Framework for Resource-Lean Content Flagging was accepted for publication in the TACL journal!
• December 2021: I've passed the defence of my higher doctoral thesis (doktordisputats, habilitation) titled 'Towards Explainable Fact Checking' and have been awarded the title of doctor scientiarum (dr.scient.)!
• December 2021: 2 papers accepted to AAAI 2022, on diagnostics-guided explanation generation and few-shot cross-lingual stance detection!