Maria Liakata
Maria Liakata
Professor Queen Mary University of London/University of Warwick, Alan Turing Institute AI Fellow
Verified email at qmul.ac.uk
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
4962009
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
3182016
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
2882018
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
1482017
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
1432012
Corpora for the conceptualisation and zoning of scientific papers
M Liakata, S Teufel, A Siddharthan, C Batchelor
1282010
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
1142010
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
892017
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
852014
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
842017
Towards detecting rumours in social media
A Zubiaga, M Liakata, R Procter, K Bontcheva, P Tolmie
arXiv preprint arXiv:1504.04712, 2015
822015
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
752015
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
742010
Learning reporting dynamics during breaking news for rumour detection in social media
A Zubiaga, M Liakata, R Procter
arXiv preprint arXiv:1610.07363, 2016
662016
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
632016
All-in-one: Multi-task learning for rumour verification
E Kochkina, M Liakata, A Zubiaga
arXiv preprint arXiv:1806.03713, 2018
612018
Exploiting context for rumour detection in social media
A Zubiaga, M Liakata, R Procter
International Conference on Social Informatics, 109-123, 2017
552017
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
542015
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
532017
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
482016
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