Maria Liakata

Citata da

	Tutte	Dal 2016
Citazioni	4202	3324
Indice H	31	30
i10-index	70	54

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2008200920102011201220132014201520162017201820192020202113 41 82 82 119 142 165 166 223 333 581 871 1134 147

Coautori

Arkaitz ZubiagaLecturer (Assistant Professor), Queen Mary University of LondonEmail verificata su qmul.ac.uk
Rob ProcterProfessor of Social Informatics, University of Warwick; Faculty Fellow, Alan Turing InstituteEmail verificata su warwick.ac.uk
Amanda ClareAberystwyth UniversityEmail verificata su aber.ac.uk
Kalina BontchevaProfessor of Text Analytics, University of SheffieldEmail verificata su sheffield.ac.uk
Bo WangUniversity of OxfordEmail verificata su turing.ac.uk
Peter TolmiePrincipal Research Scientist, Wirtschaftsinformatik und Neue Medien, Universität SiegenEmail verificata su uni-siegen.de
Wayne AubreyAberystwyth UniversityEmail verificata su aber.ac.uk
Elena KochkinaUniversity of WarwickEmail verificata su warwick.ac.uk
George GkotsisSenior Research Scientist, Refinitiv LabsEmail verificata su kcl.ac.uk
S.G. OliverUniversity of CambridgeEmail verificata su cam.ac.uk
Adam TsakalidisResearch Fellow, Queen Mary University of London; The Alan Turing InstituteEmail verificata su turing.ac.uk
ahmet akerResearch Associate at the University of SheffieldEmail verificata su dcs.shef.ac.uk
James RavenscroftPhD Student, Warwick University and CTO, Filament Consultancy GroupEmail verificata su warwick.ac.uk
Anika OellrichKing's College LondonEmail verificata su kcl.ac.uk
Leon DerczynskiITU CopenhagenEmail verificata su itu.dk
Colin BatchelorRoyal Society of Chemistry, UKEmail verificata su rsc.org
Dietrich Rebholz-SchuhmannZB MED -- Information Center for Life SciencesEmail verificata su zbmed.de
Michal LukasikGoogleEmail verificata su google.com
Professor Richard DobsonGroup lead and Professor in Bioinformatics, Kings College LondonEmail verificata su kcl.ac.uk
Tim HubbardHead Dept. Medical & Molecular Genetics, King's College London, Director of Bioinformatics, King'sEmail verificata su kcl.ac.uk

Maria Liakata

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

Email verificata su qmul.ac.uk

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


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
The automation of science RD King, J Rowland, SG Oliver, M Young, W Aubrey, E Byrne, M Liakata, ... Science 324 (5923), 85-89, 2009	529	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	372	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	366	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	178	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	118	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	106	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	90	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	74	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	71	2016
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
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	64	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	64	2017

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