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Maria Liakata
Maria Liakata
Professor Queen Mary University of London/University of Warwick, Alan Turing Institute AI Fellow
Zweryfikowany adres z qmul.ac.uk
Tytuł
Cytowane przez
Cytowane przez
Rok
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
10342018
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
8412016
The automation of science
RD King, J Rowland, SG Oliver, M Young, W Aubrey, E Byrne, M Liakata, ...
Science 324 (5923), 85-89, 2009
8202009
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
4302017
All-in-one: Multi-task learning for rumour verification
E Kochkina, M Liakata, A Zubiaga
arXiv preprint arXiv:1806.03713, 2018
3242018
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
3092017
Exploiting context for rumour detection in social media
A Zubiaga, M Liakata, R Procter
Social Informatics: 9th International Conference, SocInfo 2017, Oxford, UK …, 2017
2812017
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
2782019
Learning reporting dynamics during breaking news for rumour detection in social media
A Zubiaga, M Liakata, R Procter
arXiv preprint arXiv:1610.07363, 2016
2432016
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
2372018
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
2252017
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
2222012
tBERT: Topic models and BERT joining forces for semantic similarity detection
N Peinelt, D Nguyen, M Liakata
Proceedings of the 58th annual meeting of the association for computational …, 2020
2212020
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
2142010
Sentihood: Targeted aspect based sentiment analysis dataset for urban neighbourhoods
M Saeidi, G Bouchard, M Liakata, S Riedel
arXiv preprint arXiv:1610.03771, 2016
1942016
Corpora for the conceptualisation and zoning of scientific papers
M Liakata, S Teufel, A Siddharthan, C Batchelor
1792010
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
1662018
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
1662017
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
1482016
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
1442015
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