I am a tenure-track assistant professor at the University of Copenhagen, Department of Computer Science, affiliated with the CoAStAL NLP group and work in the general areas of Statistical Natural Language Processing and Machine Learning. 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 as part of a project funded by Elsevier. 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.
- September 2017: Giving an invited talk on NLP beyond the sentence level at the Structured Prediction for NLP workshop at EMNLP 2017
- August 2017: Excited to have Johannes Bjerva starting as my first postdoc on 1 September
- July 2017: Presenting at Microsoft Research Faculty Summit and at ACL
- July 2017: Started as a tenure-track Assistant Professor at the University of Copenhagen! I am looking for a postdoc to work with me for 1+ years in the CoAStAL NLP group, please send me an email if you are interested.
- June 2017: We came 3rd in the Fake News Challenge FNC-1, with a simple model using TF-IDF and a MLP - almost on par with more involved models in 1st and 2nd place
- June 2017: New paper based on Ed Collins' UCL MEng project on extractive summarisation of scientific publications accepted at CoNLL 2017!
- May 2017: New paper on learning what to share between loosely related task in multi-task learning
- May 2017: I'm co-organising a workshop on Deep Structured Prediction at ICML 2017
- April 2017: Invited talk at Google London on fact checking
- April 2017: Our submission to SemEval 2017 RumourEval Task A (wnning team) now online
- April 2017: Preprint of SemEval 2017 Science Task Description Paper now online
- April 2017: Paper "Multi-Task Learning of Keyphrase Boundary Classification" accepted at ACL 2017!
- February 2017: Wired article discussing our project on machine reading of scientific publications and how it could aid peer review
- February 2017: On winning team in SemEval 2017 RumourEval Task A, Team Turing, lead by Elena Kochkina
- February 2017: SemEval 2017 ScienceIE results are now online. Congratulations to the winning teams, s2_end2end, MayoNLP and MIT!
- January 2017: I am co-organising the first workshop for women and underrepresented minorities in NLP (WiNLP) at ACL 2017