Matthew Shardlow
Zitiert von
Zitiert von
A Survey of Automated Text Simplification
M Shardlow
International Journal of Advanced Computer Science and Applications (IJACSA), 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
A Comparison of Techniques to Automatically Identify Complex Words
M Shardlow
51st Annual Meeting of the Association for Computational Linguistics …, 2013
An analysis of feature selection techniques
M Shardlow
University of Manchester, 1-7, 2012
Semeval-2021 task 1: Lexical complexity prediction
M Shardlow, R Evans, GH Paetzold, M Zampieri
Proceedings of the 15th International Workshop on Semantic Evaluation …, 2021
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), 1-13, 2018
Out in the Open: Finding and Categorising Errors in the Lexical Simplification Pipeline
M Shardlow
LREC 2014, 1583-1580, 2014
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
Text mining resources for the life sciences
P Przybyła, M Shardlow, S Aubin, R Bossy, R Eckart de Castilho, ...
Database 2016, baw145, 2016
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
Neural text simplification of clinical letters with a domain specific phrase table
M Shardlow, R Nawaz
Association for Computational Linguistics (ACL), 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
Predicting lexical complexity in English texts: the Complex 2.0 dataset
M Shardlow, R Evans, M Zampieri
Language Resources and Evaluation 56 (4), 1153-1194, 2022
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
Findings of the tsar-2022 shared task on multilingual lexical simplification
H Saggion, S Štajner, D Ferrés, KC Sheang, M Shardlow, K North, ...
arXiv preprint arXiv:2302.02888, 2023
CombiNMT: An exploration into neural text simplification models
M Cooper, M Shardlow
Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020
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, 391-406, 2019
Lexical simplification benchmarks for English, Portuguese, and Spanish
S Stajner, D Ferrés, M Shardlow, K North, M Zampieri, H Saggion
Frontiers in Artificial Intelligence 5 (991242), 2022
Leveraging AI and machine learning for national student survey: actionable insights from textual feedback to enhance quality of teaching and learning in UK’s higher education
R Nawaz, Q Sun, M Shardlow, G Kontonatsios, NR Aljohani, A Visvizi, ...
Applied Sciences 12 (1), 514, 2022
Detecting multiword expression type helps lexical complexity assessment
E Kochmar, S Gooding, M Shardlow
LREC, 2020
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