I am an associate professor at the University of Copenhagen, Department of Computer Science and work in the general areas of Statistical Natural Language Processing and Machine Learning. I head the Copenhagen NLU research group, and am affiliated with the Machine Learning Section. My main research interests are weakly supervised and low-resource learning with applications including information extraction, machine reading and fact checking.
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 am president of the ACL Special Interest Group on Representation Learning (SIGREP), maintain the BIG Directory of members of underrepresented groups and supporters in Natural Language Processing and co-organise the Copenhagen NLP meetup.
- May 2020: Paper on explaining model transfer accepted to UAI 2020!
- April 2020: 2 papers accepted to ACL 2020, on explainable fact checking and on script conversion.
- January 2020: My application for tenure was approved -- I will be an associate professor from February onwards!
- December 2019: International postdoc project funded by the Swedish Research Council approved. Looking forward to collaborating on automating the assessment of psychological constructs with NLP methods with Oscar Kjell!
- November 2019: Our paper "Back to the Future -- Sequential Alignment of Text Representations", has been accepted to AAAI 2020.
- October 2019: We've received a grant from the Swedish Research Council. The project will be coordinated by Robert Östling and its goals are to study structured multilinguality, i.e. the idea of using language representations and typological knowledge bases to guide which information to share between specific languages.
- October 2019: I've received a grant from the Independent Research Fund Denmark to work on Detecting Gender-Biased Language on Social Media! The project will focus on work at the intersection of gender bias detection, stance detection and cross-lingual learning. It will fund one PhD student, to be enrolled at the University of Copenhagen, who will be co-supervised by Ryan Cotterell. You can apply for the PhD position here, the deadline is 1 December 2019.