Maria Liakata - Google Scholar Citations

Cited by

	All	Since 2015
Citations	2811	2115
h-index	26	25
i10-index	55	43

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Co-authors

Arkaitz ZubiagaLecturer, 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
Wayne AubreyAberystwyth UniversityVerified email at aber.ac.uk
Peter TolmiePrincipal Research Scientist, Wirtschaftsinformatik und Neue Medien, Universität SiegenVerified email at uni-siegen.de
S.G. OliverUniversity of CambridgeVerified email at cam.ac.uk
Bo WangUniversity of OxfordVerified email at turing.ac.uk
George GkotsisSenior Research Scientist, Refinitiv LabsVerified email at kcl.ac.uk
Anika OellrichKing's College LondonVerified email at kcl.ac.uk
ahmet akerResearch Associate at the University of SheffieldVerified email at dcs.shef.ac.uk
Elena KochkinaUniversity of WarwickVerified email at warwick.ac.uk
Colin BatchelorRoyal Society of Chemistry, UKVerified email at rsc.org
Dietrich Rebholz-SchuhmannZB MED -- Information Center for Life SciencesVerified email at zbmed.de
James RavenscroftPhD Student, Warwick University and CTO, Filament Consultancy GroupVerified email at warwick.ac.uk
Adam TsakalidisThe Alan Turing InstituteVerified email at turing.ac.uk
Leon DerczynskiAssistant Professor of Computer Science, IT University of CopenhagenVerified email at itu.dk
Michal LukasikGoogleVerified email at google.com
Stephen PulmanProfessor of Computational Linguistics, Dept. of Computer Science, Oxford UniversityVerified email at cs.ox.ac.uk
Ulla SteniusKarolinska InstitutetVerified email at ki.se

Maria Liakata

Associate Professor University of Warwick, Alan Turing Institute AI Fellow

Verified email at warwick.ac.uk

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


Title	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	466	2009
Analysing how people orient to and spread rumours in social media by looking at conversational threads A Zubiaga, M Liakata, R Procter, GWS Hoi, P Tolmie PloS one 11 (3), 2016	221	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	196	2018
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	119	2012
Corpora for the conceptualisation and zoning of scientific papers M Liakata, S Teufel, A Siddharthan, C Batchelor	106	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, 2010	103	2010
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	97	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	83	2014
Identifying the information structure of scientific abstracts: an investigation of three different schemes Y Guo, A Korhonen, M Liakata, IS Karolinska, L Sun, U Stenius Proceedings of the 2010 Workshop on Biomedical Natural Language Processing …, 2010	68	2010
Towards detecting rumours in social media A Zubiaga, M Liakata, R Procter, K Bontcheva, P Tolmie Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015	66	2015
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), 2017	64	2017
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	60	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, 45141, 2017	52	2017
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	41	2016
Crowdsourcing the annotation of rumourous conversations in social media A Zubiaga, M Liakata, R Procter, K Bontcheva, P Tolmie Proceedings of the 24th International Conference on World Wide Web, 347-353, 2015	41	2015
What's in a note: construction of a suicide note corpus JP Pestian, P Matykiewicz, M Linn-Gust Biomedical informatics insights 5, BII. S10213, 2012	40	2012
Learning reporting dynamics during breaking news for rumour detection in social media A Zubiaga, M Liakata, R Procter arXiv preprint arXiv:1610.07363, 2016	38	2016
The language of mental health problems in social media G Gkotsis, A Oellrich, T Hubbard, R Dobson, M Liakata, S Velupillai, ... Proceedings of the Third Workshop on Computational Linguistics and Clinical …, 2016	32	2016
Exploiting context for rumour detection in social media A Zubiaga, M Liakata, R Procter International Conference on Social Informatics, 109-123, 2017	31	2017
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	31	2017

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