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 | 941 | 2018 |
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 | 781 | 2016 |
The automation of science RD King, J Rowland, SG Oliver, M Young, W Aubrey, E Byrne, M Liakata, ... Science 324 (5923), 85-89, 2009 | 764 | 2009 |
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 | 399 | 2017 |
All-in-one: Multi-task learning for rumour verification E Kochkina, M Liakata, A Zubiaga arXiv preprint arXiv:1806.03713, 2018 | 286 | 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), 1-11, 2017 | 273 | 2017 |
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 | 248 | 2019 |
Exploiting context for rumour detection in social media A Zubiaga, M Liakata, R Procter Social Informatics: 9th International Conference, SocInfo 2017, Oxford, UK …, 2017 | 230 | 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 | 216 | 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 | 212 | 2016 |
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 | 205 | 2017 |
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 | 203 | 2018 |
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 | 192 | 2010 |
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 | 187 | 2020 |
Sentihood: Targeted aspect based sentiment analysis dataset for urban neighbourhoods M Saeidi, G Bouchard, M Liakata, S Riedel arXiv preprint arXiv:1610.03771, 2016 | 176 | 2016 |
Corpora for the conceptualisation and zoning of scientific papers M Liakata, S Teufel, A Siddharthan, C Batchelor | 172 | 2010 |
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 | 158 | 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 | 154 | 2017 |
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 | 136 | 2016 |
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 | 136 | 2015 |