Maria Liakata

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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
Peter TolmiePrincipal Research Scientist, Wirtschaftsinformatik und Neue Medien, Universität SiegenVerified email at uni-siegen.de
Elena KochkinaUniversity of WarwickVerified email at warwick.ac.uk
Wayne AubreyAberystwyth UniversityVerified email at aber.ac.uk
George GkotsisSenior Research ScientistVerified email at kcl.ac.uk
Adam TsakalidisResearch Fellow, Queen Mary University of London; The Alan Turing InstituteVerified email at turing.ac.uk
S.G. OliverUniversity of CambridgeVerified email at cam.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
Daniel DumaUniversity of Edinburgh, medwise.aiVerified email at sms.ed.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	530	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	387	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	380	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	188	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	158	2012
Corpora for the conceptualisation and zoning of scientific papers M Liakata, S Teufel, A Siddharthan, C Batchelor	133	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	119	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	111	2017
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	96	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
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	87	2015
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
All-in-one: Multi-task learning for rumour verification E Kochkina, M Liakata, A Zubiaga arXiv preprint arXiv:1806.03713, 2018	86	2018
Learning reporting dynamics during breaking news for rumour detection in social media A Zubiaga, M Liakata, R Procter arXiv preprint arXiv:1610.07363, 2016	80	2016
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
Exploiting context for rumour detection in social media A Zubiaga, M Liakata, R Procter International Conference on Social Informatics, 109-123, 2017	76	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	74	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	74	2016
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	66	2019
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	65	2017

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