| A Survey of Automated Text Simplification M Shardlow International Journal of Advanced Computer Science and Applications (IJACSA), 2014 | 149 | 2014 |
| Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts I Korkontzelos, A Nikfarjam, M Shardlow, A Sarker, S Ananiadou, ... Journal of biomedical informatics 62, 148-158, 2016 | 107 | 2016 |
| A Comparison of Techniques to Automatically Identify Complex Words M Shardlow 51st Annual Meeting of the Association for Computational Linguistics …, 2013 | 69 | 2013 |
| An analysis of feature selection techniques M Shardlow University of Manchester, 1-7, 2012 | 46* | 2012 |
| Out in the Open: Finding and Categorising Errors in the Lexical Simplification Pipeline M Shardlow LREC 2014, 1583-1580, 2014 | 38 | 2014 |
| Identification of research hypotheses and new knowledge from scientific literature M Shardlow, R Batista-Navarro, P Thompson, R Nawaz, J McNaught, ... BMC medical informatics and decision making 18 (1), 46, 2018 | 36 | 2018 |
| The CW Corpus: A New Resource for Evaluating the Identification of Complex Words M Shardlow Proceedings of the Second Workshop on Predicting and Improving Text …, 2013 | 23 | 2013 |
| Text mining resources for the life sciences P Przybyła, M Shardlow, S Aubin, R Bossy, R Eckart de Castilho, ... Database 2016, 2016 | 22 | 2016 |
| Neural text simplification of clinical letters with a domain specific phrase table M Shardlow, R Nawaz Association for Computational Linguistics (ACL), 2019 | 11 | 2019 |
| Bot detection using a single post on social media S Mohammad, MUS Khan, M Ali, L Liu, M Shardlow, R Nawaz 2019 Third World Conference on Smart Trends in Systems Security and …, 2019 | 10 | 2019 |
| A text mining pipeline using active and deep learning aimed at curating information in computational neuroscience M Shardlow, M Ju, M Li, C O’Reilly, E Iavarone, J McNaught, S Ananiadou Neuroinformatics 17 (3), 391-406, 2019 | 6 | 2019 |
| NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features P Przybyła, NTH Nguyen, M Shardlow, G Kontonatsios, S Ananiadou Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 4 | 2016 |
| A new corpus to support text mining for the curation of metabolites in the Chebi database MJ Shardlow, N Nguyen, G Owen, C O'Donovan, A Leach, J McNaught, ... Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 3 | 2018 |
| Detecting multiword expression type helps lexical complexity assessment E Kochmar, S Gooding, M Shardlow LREC, 2020 | 2 | 2020 |
| CombiNMT: An Exploration into Neural Text Simplification Models M Cooper, M Shardlow Proceedings of The 12th Language Resources and Evaluation Conference, 5588-5594, 2020 | 2 | 2020 |
| CompLex---A New Corpus for Lexical Complexity Predicition from Likert Scale Data M Shardlow, M Cooper, M Zampieri Proceedings of the 1st Workshop on Tools and Resources to Empower People …, 2020 | 1 | 2020 |
| Manchester metropolitan at semeval-2018 task 2: Random forest with an ensemble of features for predicting emoji in tweets G Luciano, MJ Shardlow Proceedings of the 12th International Workshop on Semantic Evaluation …, 2018 | 1 | 2018 |
| Lexical simplification: optimising the pipeline M Shardlow PQDT-UK & Ireland, 2015 | 1 | 2015 |
| Multi-Word Lexical Simplification P Przybyła, M Shardlow Proceedings of the 28th International Conference on Computational …, 2020 | | 2020 |
| HTSS: A novel hybrid text summarisation and simplification architecture F Zaman, M Shardlow, SU Hassan, NR Aljohani, R Nawaz Information Processing & Management 57 (6), 102351, 2020 | | 2020 |
Sophia AnaniadouProfessor, Computer Science, Manchester University, National Centre for Text MiningVerified email at manchester.ac.uk
