| 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 | 1194 | 2018 |
| 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 | 318 | 2019 |
| The challenging task of summary evaluation: an overview E Lloret, L Plaza, A Aker Language Resources and Evaluation 52 (1), 101-148, 2018 | 146 | 2018 |
| Generating image descriptions using dependency relational patterns A Aker, R Gaizauskas Proceedings of the 48th annual meeting of the association for computational …, 2010 | 134 | 2010 |
| Simple open stance classification for rumour analysis A Aker, L Derczynski, K Bontcheva arXiv preprint arXiv:1708.05286, 2017 | 107 | 2017 |
| Can rumour stance alone predict veracity? S Dungs, A Aker, N Fuhr, K Bontcheva Proceedings of the 27th international conference on computational …, 2018 | 103 | 2018 |
| Assessing Crowdsourcing Quality through Objective Tasks A Aker, M El-Haj, MD Albakour, U Kruschwitz LREC 2012, 2012 | 86 | 2012 |
| Extracting bilingual terminologies from comparable corpora A Aker, ML Paramita, R Gaizauskas Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 72 | 2013 |
| Multi-document summarization using A* search and discriminative learning A Aker, T Cohn, R Gaizauskas Proceedings of the 2010 conference on empirical methods in natural language …, 2010 | 62 | 2010 |
| What works and what does not: Classifier and feature analysis for argument mining A Aker, A Sliwa, Y Ma, R Lui, N Borad, S Ziyaei, M Ghobadi Proceedings of the 4th Workshop on Argument Mining, 91-96, 2017 | 59 | 2017 |
| Analyzing the capabilities of crowdsourcing services for text summarization E Lloret, L Plaza, A Aker Language resources and evaluation 47 (2), 337-369, 2013 | 54 | 2013 |
| A graph-based approach to topic clustering for online comments to news A Aker, E Kurtic, AR Balamurali, M Paramita, E Barker, M Hepple, ... European Conference on Information Retrieval, 15-29, 2016 | 47 | 2016 |
| Summarizing online reviews using aspect rating distributions and language modeling G Di Fabbrizio, A Aker, R Gaizauskas IEEE Intelligent Systems 28 (3), 28-37, 2013 | 47 | 2013 |
| Collecting and Using Comparable Corpora for Statistical Machine Translation NG Inguna Skadiņa, Ahmet Aker, Nikos Mastropavlos LREC 2012, 2012 | 46* | 2012 |
| Is it really fake?–towards an understanding of fake news in social media communication J Meinert, M Mirbabaie, S Dungs, A Aker International conference on social computing and social media, 484-497, 2018 | 41 | 2018 |
| A light way to collect comparable corpora from the Web A Ahmet, E Kanoulas, R Gaizauskas LREC 2012, 2012 | 40 | 2012 |
| The Fake News Challenge: Stance Detection using Traditional Machine Learning Approaches. R Masood, A Aker KMIS, 126-133, 2018 | 36 | 2018 |
| Automatic label generation for news comment clusters A Aker, ML Paramita, E Kurtić, A Funk, E Barker, M Hepple, R Gaizauskas Proceedings of the 9th International Natural Language Generation Conference …, 2016 | 33 | 2016 |
| Bilingual dictionaries for all EU languages A Aker, ML Paramita, M Pinnis, R Gaizauskas LREC 2014 Proceedings, 2839-2845, 2014 | 33 | 2014 |
| The SENSEI annotated corpus: Human summaries of reader comment conversations in on-line news E Barker, ML Paramita, A Aker, E Kurtić, M Hepple, R Gaizauskas Proceedings of the 17th annual meeting of the special interest group on …, 2016 | 30 | 2016 |
Robert GaizauskasProfessor of Computer Science, University of SheffieldVerified email at sheffield.ac.uk
