I am a tenure-track assistant professor at the University of Copenhagen, Department of Computer Science since July 2017, affiliated with the Copenhagen NLP group and the Machine Learning Section, 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. 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 2018: I'm co-organising the first Conference on Automated Knowledge Base Construction (AKBC), to take place 20-22 May 2019 in Amherst, MA
- August 2018: I've been awarded a grant by the University of Copenhagen Centre for Communication and Computing (CCC) to re-start the Copenhagen NLP meetup, covering speaker travel and hospitality expenses. Join the meetup group to see talk announcements!
- August 2018: 28 PhD fellowships are available at our faculty through the European Union's H2020 Marie Curie COFUND program. If you would like to work with me at the University of Copenhagen, apply here by 1 October and name me as an advisor. Informal enquries welcome.
- August 2018: Team Copenhagen (Yova Kementchedjhieva, Johannes Bjerva, myself) won the CoNLL--SIGMORPHON shared task on morphological inflection in context!
- August 2018: 2 papers accepted to EMNLP, on question relevancy ranking and on parameter sharing in multilingual parsing
- May 2018: Giving invited talks on learning with limited labelled data in NLP at the Information Extraction and Retrieval group at the University of Ghent; the ILCC Seminar Series, The University of Edinburgh; the Machine Learning for Language group, New York University and the Center for Language and Speech Processing at Johns Hopkins University
- May 2018: ACL Demo Paper Jack the Reader -- A Machine Reading Framework accepted!
- February 2018: 2 papers accepted to NAACL 2018, on multi-task learning over disparate label spaces for natural language understanding; and on language embeddings, showing that the typological properties encoded depend highly on the target task