I am a final year PhD student in Computer Science supervised by Prof. Rob Procter and Dr. Maria Liakata. I am affiliated with the Warwick Institute for the Science of Cities (WISC) CDT and funded by the Leverhulme Trust via the Bridges Programme. My background is Applied Mathematics and Complexity Science.
I am a visiting student at the Alan Turing Institute in London.
My research is focused on Rumour Stance and Veracity Classification in social media conversations. Veracity classification means a task of identifying whether a given conversation discusses a True, False or Unverified rumour. Stance classification implies determining the attitude of responses discussing a rumour towards its veracity as either Supporting, Denying, Questioning or Commenting. In my work I study the relations between these tasks, as patterns of support and denial can be indicative of the final veracity label. As the input data is in the form of conversations discussing rumours, I utilise the conversation structure to enhance predictive models. I work with deep learning models as this approach allows flexible architectures and has benefits of representation learning. Recurrent and recursive neural networks allow to model time sequences and/or conversation tree-like structures.
My general research interests are Machine Learning, Data Mining, Deep Learning, Natural Language Processing and Image Processing.
- Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik. Stance classification in rumours as a sequential task exploiting the tree structure of social media conversations // Proceedings of the International Conference on Computational Linguistics. – Association for Natural Language Processing (ANLP), 2016.
- Elena Kochkina, Maria Liakata, and Isabelle Augenstein. 2017. Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM. In Proceedings of SemEval. ACL
- Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augensteine. Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers - Information Processing & Management, 2017.
- Elena Kochkina, Maria Liakata, Arkaitz Zubiaga. All-in-one: Multi-task Learning for Rumour Verification // Proceedings of the 27th International Conference on Computational Linguistics (COLING), 2018
- Gorrell, G., Bontcheva, K., Derczynski, L., Kochkina, E., Liakata, M., & Zubiaga, A. (2018). RumourEval 2019: Determining Rumour Veracity and Support for Rumours. arXiv preprint arXiv:1809.06683, 2018
- CS918 Natural Language Processing (Term II in 2015/16, 2016/17, 2017/18, Lab Demonstations, Introduction Seminars on Neural Networks)
- CS130 Mathematics for Computer Scientists I (Term I, 2015/16, Small Group Seminars)
- CS909 Data Mining (Term II, 2015/16, Lab Demonstrations)
Seminars and Reading groups
- Member of Natural Language Processing Interest Group @ Turing Institute (Email if you are interested to attend any of the meetings)
- I am a part of the Statistics and Machine Learning Reading Group.
- I am a member of the Natural Language Processing Reading Group
- I helped organise and record WISC seminars in 2015-2016.
- I helped organise Bridges Summer School on Big Data and Networks in Social Sciences 2016.
- 2015 - present: PhD in Urban Science, University of Warwick
- 2017 - present: Visiting student, The Alan Turing Institute, London, UK
- 2016 - 2017: Enrichment student, The Alan Turing Institute, London, UK
2013-2015: MSc in Complex Systems Science, University of Warwick, UK; Chalmers University, Sweden
Thesis 1: Application of Digital Image Inpainting in Electrochemical Scanning Probe Microscopy, supervised by Prof. Patrick Unwin and Dr. Kim McKelvey
- 2012 - 2015: MSc in Applied Mathematics and Informatics, Lobachevsky State University of Nizhny Novgorod, Russia
- 2008-2012: BSc in Applied Mathematics and Informatics, Lobachevsky State University of Nizhny Novgorod, Russia