Maria Liakata

Cited by

	All	Since 2016
Citations	4170	3299
h-index	31	30
i10-index	68	53

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2008200920102011201220132014201520162017201820192020202113 41 82 82 119 142 165 166 223 333 581 872 1132 129

Co-authors

Arkaitz ZubiagaLecturer (Assistant Professor), Queen Mary University of LondonVerified email at qmul.ac.uk
Rob ProcterProfessor of Social Informatics, University of Warwick; Faculty Fellow, Alan Turing InstituteVerified email at warwick.ac.uk
Amanda ClareAberystwyth UniversityVerified email at aber.ac.uk
Kalina BontchevaProfessor of Text Analytics, University of SheffieldVerified email at sheffield.ac.uk
Bo WangUniversity of OxfordVerified email at turing.ac.uk
Peter TolmiePrincipal Research Scientist, Wirtschaftsinformatik und Neue Medien, Universität SiegenVerified email at uni-siegen.de
Wayne AubreyAberystwyth UniversityVerified email at aber.ac.uk
Elena KochkinaUniversity of WarwickVerified email at warwick.ac.uk
George GkotsisSenior Research Scientist, Refinitiv LabsVerified email at kcl.ac.uk
S.G. OliverUniversity of CambridgeVerified email at cam.ac.uk
Adam TsakalidisResearch Fellow, Queen Mary University of London; The Alan Turing InstituteVerified email at turing.ac.uk
ahmet akerResearch Associate at the University of SheffieldVerified email at dcs.shef.ac.uk
James RavenscroftPhD Student, Warwick University and CTO, Filament Consultancy GroupVerified email at warwick.ac.uk
Anika OellrichKing's College LondonVerified email at kcl.ac.uk
Leon DerczynskiITU CopenhagenVerified email at itu.dk
Colin BatchelorRoyal Society of Chemistry, UKVerified email at rsc.org
Dietrich Rebholz-SchuhmannZB MED -- Information Center for Life SciencesVerified email at zbmed.de
Michal LukasikGoogleVerified email at google.com
Professor Richard DobsonGroup lead and Professor in Bioinformatics, Kings College LondonVerified email at kcl.ac.uk
Tim HubbardHead Dept. Medical & Molecular Genetics, King's College London, Director of Bioinformatics, King'sVerified email at kcl.ac.uk

Maria Liakata

Professor Queen Mary University of London/University of Warwick, Alan Turing Institute AI Fellow

Verified email at qmul.ac.uk

Natural Language processing (NLP)Semantics & Discourse BioNLP & NLP for Mental Health Social Media Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The automation of science RD King, J Rowland, SG Oliver, M Young, W Aubrey, E Byrne, M Liakata, ... Science 324 (5923), 85-89, 2009	525	2009
Analysing how people orient to and spread rumours in social media by looking at conversational threads A Zubiaga, M Liakata, R Procter, G Wong Sak Hoi, P Tolmie PloS one 11 (3), e0150989, 2016	369	2016
Detection and resolution of rumours in social media: A survey A Zubiaga, A Aker, K Bontcheva, M Liakata, R Procter ACM Computing Surveys (CSUR) 51 (2), 1-36, 2018	363	2018
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours L Derczynski, K Bontcheva, M Liakata, R Procter, GWS Hoi, A Zubiaga arXiv preprint arXiv:1704.05972, 2017	176	2017
Automatic recognition of conceptualization zones in scientific articles and two life science applications M Liakata, S Saha, S Dobnik, C Batchelor, D Rebholz-Schuhmann Bioinformatics 28 (7), 991-1000, 2012	156	2012
Corpora for the conceptualisation and zoning of scientific papers M Liakata, S Teufel, A Siddharthan, C Batchelor	132	2010
Towards Robot Scientists for autonomous scientific discovery A Sparkes, W Aubrey, E Byrne, A Clare, MN Khan, M Liakata, M Markham, ... Automated Experimentation 2 (1), 1-11, 2010	117	2010
Measuring scientific impact beyond academia: An assessment of existing impact metrics and proposed improvements J Ravenscroft, M Liakata, A Clare, D Duma PloS one 12 (3), e0173152, 2017	104	2017
Towards detecting rumours in social media A Zubiaga, M Liakata, R Procter, K Bontcheva, P Tolmie arXiv preprint arXiv:1504.04712, 2015	95	2015
Characterisation of mental health conditions in social media using Informed Deep Learning G Gkotsis, A Oellrich, S Velupillai, M Liakata, TJP Hubbard, RJB Dobson, ... Scientific reports 7 (1), 1-11, 2017	88	2017
Biological network extraction from scientific literature: state of the art and challenges C Li, M Liakata, D Rebholz-Schuhmann Briefings in bioinformatics 15 (5), 856-877, 2014	87	2014
Making the most of tweet-inherent features for social spam detection on Twitter B Wang, A Zubiaga, M Liakata, R Procter arXiv preprint arXiv:1503.07405, 2015	84	2015
All-in-one: Multi-task learning for rumour verification E Kochkina, M Liakata, A Zubiaga arXiv preprint arXiv:1806.03713, 2018	81	2018
Identifying the information structure of scientific abstracts: an investigation of three different schemes Y Guo, A Korhonen, M Liakata, I Silins, L Sun, U Stenius Proceedings of the 2010 Workshop on Biomedical Natural Language Processing …, 2010	78	2010
Learning reporting dynamics during breaking news for rumour detection in social media A Zubiaga, M Liakata, R Procter arXiv preprint arXiv:1610.07363, 2016	76	2016
Exploiting context for rumour detection in social media A Zubiaga, M Liakata, R Procter International Conference on Social Informatics, 109-123, 2017	73	2017
Sentihood: Targeted aspect based sentiment analysis dataset for urban neighbourhoods M Saeidi, G Bouchard, M Liakata, S Riedel arXiv preprint arXiv:1610.03771, 2016	70	2016
Stance classification in rumours as a sequential task exploiting the tree structure of social media conversations A Zubiaga, E Kochkina, M Liakata, R Procter, M Lukasik arXiv preprint arXiv:1609.09028, 2016	70	2016
Turing at semeval-2017 task 8: Sequential approach to rumour stance classification with branch-lstm E Kochkina, M Liakata, I Augenstein arXiv preprint arXiv:1704.07221, 2017	64	2017
SemEval-2019 task 7: RumourEval, determining rumour veracity and support for rumours G Gorrell, E Kochkina, M Liakata, A Aker, A Zubiaga, K Bontcheva, ... Proceedings of the 13th International Workshop on Semantic Evaluation, 845-854, 2019	62	2019

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