Maria Liakata

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Arkaitz ZubiagaQueen Mary University of LondonEmail confirmado em qmul.ac.uk
Rob ProcterProfessor of Social Informatics, University of Warwick; Faculty Fellow, Alan Turing InstituteEmail confirmado em warwick.ac.uk
Kalina BontchevaProfessor of Text Analytics, University of SheffieldEmail confirmado em sheffield.ac.uk
Amanda ClareAberystwyth UniversityEmail confirmado em aber.ac.uk
Elena KochkinaQueen Mary University of LondonEmail confirmado em qmul.ac.uk
Adam TsakalidisResearch Fellow, Queen Mary University of London; The Alan Turing InstituteEmail confirmado em turing.ac.uk
Peter TolmiePrincipal Research Scientist, Wirtschaftsinformatik und Neue Medien, Universität SiegenEmail confirmado em uni-siegen.de
Rina DuttaClinical Senior Lecturer, King's College London / NIHR Maudsley BRCEmail confirmado em kcl.ac.uk
Wayne AubreyAberystwyth UniversityEmail confirmado em aber.ac.uk
ahmet akerResearch Associate at the University of SheffieldEmail confirmado em dcs.shef.ac.uk
George GkotsisApplied ScientistEmail confirmado em kcl.ac.uk
James RavenscroftPhD Student, Warwick University and CTO, Filament Consultancy GroupEmail confirmado em warwick.ac.uk
S.G. OliverUniversity of CambridgeEmail confirmado em cam.ac.uk
Anika Cawthorn (formerly Oellrich)University College LondonEmail confirmado em ucl.ac.uk
Sumithra VelupillaiKing's College LondonEmail confirmado em kcl.ac.uk
Leon DerczynskiIT University of Copenhagen & University of WashingtonEmail confirmado em itu.dk
Dietrich Rebholz-SchuhmannZB MED -- Information Center for Life SciencesEmail confirmado em zbmed.de
Michal LukasikGoogleEmail confirmado em google.com
shyamasree sahaPhD, Queen Mary University of LondonEmail confirmado em qmul.ac.uk
Colin BatchelorRoyal Society of Chemistry, UKEmail confirmado em rsc.org

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Maria Liakata

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

Email confirmado em qmul.ac.uk

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


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	744	2018
The automation of science RD King, J Rowland, SG Oliver, M Young, W Aubrey, E Byrne, M Liakata, ... Science 324 (5923), 85-89, 2009	649	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	630	2016
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	319	2017
All-in-one: Multi-task learning for rumour verification E Kochkina, M Liakata, A Zubiaga arXiv preprint arXiv:1806.03713, 2018	216	2018
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), 45141, 2017	201	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	197	2012
SemEval-2019 Task 7: RumourEval 2019: 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: NAACL …, 2019	186	2019
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	174	2017
Learning reporting dynamics during breaking news for rumour detection in social media A Zubiaga, M Liakata, R Procter arXiv preprint arXiv:1610.07363, 2016	161	2016
Towards robot scientists for autonomous scientific discovery A Sparkes, W Aubrey, E Byrne, A Clare, MN Khan, M Liakata, M Markham, ... Automated Experimentation 2, 1-11, 2010	159	2010
Corpora for the conceptualisation and zoning of scientific papers M Liakata, S Teufel, A Siddharthan, C Batchelor	158	2010
Using clinical natural language processing for health outcomes research: overview and actionable suggestions for future advances S Velupillai, H Suominen, M Liakata, A Roberts, AD Shah, K Morley, ... Journal of biomedical informatics 88, 11-19, 2018	151	2018
Exploiting context for rumour detection in social media A Zubiaga, M Liakata, R Procter Social Informatics: 9th International Conference, SocInfo 2017, Oxford, UK …, 2017	151	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	137	2016
Discourse-aware rumour stance classification in social media using sequential classifiers A Zubiaga, E Kochkina, M Liakata, R Procter, M Lukasik, K Bontcheva, ... Information Processing & Management 54 (2), 273-290, 2018	132	2018
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	128	2017
Towards detecting rumours in social media A Zubiaga, M Liakata, R Procter, K Bontcheva, P Tolmie arXiv preprint arXiv:1504.04712, 2015	123	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	117	2015
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	113	2016

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