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Elena Kochkina

I am a Post Doctoral Research Assistant working with Dr. Maria Liakata funded by 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.

You can see a short video about my PhD research here:

Research interests

My general research interests are Machine Learning, Data Mining, Deep Learning, Natural Language Processing and Image Processing.



  • 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


  • 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

Elena Kochkina

E dot Kochkina at warwick dot ac dot uk

The Alan Turing Institute, British Library, London, NW1 2DB