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Maria Liakata



Associate Professor, University of Warwick
Exchange Associate Professor Centre for Urban Science and Progress (CUSP), New York University
Core member of the Warwick Institute for the Science of Cities
Alan Turing Institute Faculty Fellow


Room 232

Department of Computer Science
University of Warwick
Tel: +44 (0) 24 7652 3681


text mining, natural language processing (NLP), biomedical text mining, sentiment analysis, NLP for social media, machine learning for NLP and biomedical applications, computational semantics, scientific discourse analysis


Maria has a DPhil from the University of Oxford on learning pragmatic knowledge from text and her research interests include text mining, natural language processing (NLP), related social and biomedical applications, analysis of multi-modal and heterogeneous data (text from various sources such as social media, sensor data, images) and biological text mining. Her work has contributed to advances in knowledge discovery from corpora, automation of scientific experimentation and automatic extraction of information from the scientific literature. She has published widely both in NLP and interdisciplinary venues.

Maria is researching NLP for social science. She holds an IBM Faculty Award for studying “Emotion sensing using heterogeneous mobile phone data” and is a co-investigator on the EU Project PHEME, which studies the spread of rumours in social media. She is also a co-I on an IBM Faculty award for developing a course on Big Data ethics. Maria is leading a project funded by the Warwick Innovation Fund to diagnose and monitor dementia using text analysis. She has been recently appointed Faculty Fellow at the Alan Turing Institute where she plans to work on methods for combining heterogenenous textual and non-linguistic data for understanding mental health.

Previously she held an Early Career Fellowship from the Leverhulme Trust (2010-2013) on reasoning with scientific articles


Intelligent and Adaptive Systems
Computational Biology



  • Liakata Maria, Saha Shyamasree, Dobnik Simon and Batchelor Colin and Dietrich Rebholz-Schuhmann. (2012). Automatic recognition of conceptualization zones in scientific articles and two life science applications. Bioinformatics 2012 28: 991-1000
  • Liakata Maria, Jee-Hyub Kim, Shyamasree Saha, Janna Hastings, and Dietrich Rebholz-Schuhmann.(2012). Three Hybrid Classifiers for the Detection of Emotions in Suicide Notes. Biomedical Informatics Insights 2012:5 (Suppl. 1) 175-184
  • Guo Y., Korhonen A., Liakata M., Silins I., Hogberg J. and Stenius U. (2011). A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment. In BMC Bioinformatics 2011 12:69
  • Liakata M., Teufel S., Siddharthan A., Batchelor C. (2010). Corpora for conceptualisation and zoning of scientific papers. In Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC10), May 2010.
  • Scott IM, Vermeer CP, Liakata M, Corol DI, Ward JL, Lin W, Johnson HE, Whitehead L, Kular B,
    Baker JM, Walsh S, Dave A, Larson TR, Graham IA, Wang TL, King RD, Draper J, Beale MH. (2010).
    Enhancement of plant metabolite fingerprinting by machine learning. Plant Physiology.
    2010 Aug;153(4):1506-20. Epub 2010 Jun 21.
  • King, R. D., Rowland, J., Oliver, S. G., Young, M., Aubrey, W., Byrne, E., Liakata, M., Markham, M., Pir, P., Soldatova, L. N., Sparkes, A., Whelan, K. E., Clare, A. (2009) The Automation of Science. Science 324(5923):85-89, 3rd April 2009.