I am a Research Associate in Sebastian Riedel's UCL Machine Reading group and work in the general area of Statistical Natural Language Processing and Machine Learning. My main research interests are knowledge base population, weakly supervised learning and structured prediction. I am currently investigating machine reading from scientific articles as part of a project funded by Elsevier.
Prior to joining UCL, 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.
- 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