Matthew Shardlow

According to our database, Matthew Shardlow authored at least 44 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MultiLS: A Multi-task Lexical Simplification Framework.

Kai North, Tharindu Ranasinghe, Matthew Shardlow, Marcos Zampieri

CoRR, 2024

2023

Generative image captioning in Urdu using deep learning.

Muhammad Kashif Afzal, Matthew Shardlow, Suppawong Tuarob, Farooq Zaman, Raheem Sarwar, Mohsen Ali, Naif Radi Aljohani, Miltiades D. Lytras, Raheel Nawaz, Saeed-Ul Hassan

J. Ambient Intell. Humaniz. Comput., 2023

Lexical Complexity Prediction: An Overview.

Kai North, Marcos Zampieri, Matthew Shardlow

ACM Comput. Surv., 2023

Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles.

Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin

CoRR, 2023

Large Language Models and Control Mechanisms Improve Text Readability of Biomedical Abstracts.

Zihao Li, Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Matthew Shardlow, Goran Nenadic

CoRR, 2023

Deep Learning Approaches to Lexical Simplification: A Survey.

Kai North, Tharindu Ranasinghe, Matthew Shardlow, Marcos Zampieri

CoRR, 2023

Natural language processing on customer note data.

Andrew Hilditch, David Webb, Jozef Baca, Tom Armitage, Matthew Shardlow, Peter Appleby

CoRR, 2023

Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification.

Horacio Saggion, Sanja Stajner, Daniel Ferrés, Kim Cheng Sheang, Matthew Shardlow, Kai North, Marcos Zampieri

CoRR, 2023

BLESS: Benchmarking Large Language Models on Sentence Simplification.

Tannon Kew, Alison Chi, Laura Vásquez-Rodríguez, Sweta Agrawal, Dennis Aumiller, Fernando Alva-Manchego, Matthew Shardlow

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles.

Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

ALEXSIS+: Improving Substitute Generation and Selection for Lexical Simplification with Information Retrieval.

Kai North, Alphaeus Dmonte, Tharindu Ranasinghe, Matthew Shardlow, Marcos Zampieri

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

2022

Predicting lexical complexity in English texts: the Complex 2.0 dataset.

Matthew Shardlow, Richard Evans, Marcos Zampieri

Lang. Resour. Evaluation, 2022

Lexical simplification benchmarks for English, Portuguese, and Spanish.

Sanja Stajner, Daniel Ferrés, Matthew Shardlow, Kai North, Marcos Zampieri, Horacio Saggion

Frontiers Artif. Intell., 2022

One emoji, many meanings: A corpus for the prediction and disambiguation of emoji sense.

Matthew Shardlow, Luciano Gerber, Raheel Nawaz

Expert Syst. Appl., 2022

Deanthropomorphising NLP: Can a Language Model Be Conscious?

Matthew Shardlow, Piotr Przybyla

CoRR, 2022

Simple TICO-19: A Dataset for Joint Translation and Simplification of COVID-19 Texts.

Matthew Shardlow, Fernando Alva-Manchego

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Extending a corpus for assessing the credibility of software practitioner blog articles using meta-knowledge.

Ashley Williams, Matthew Shardlow

Proceedings of the EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13, 2022

Towards Readability-Controlled Machine Translation of COVID-19 Texts.

Fernando Alva-Manchego, Matthew Shardlow

Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

Using NLP to quantify the environmental cost and diversity benefits of in-person NLP conferences.

Piotr Przybyla, Matthew Shardlow

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Predicting Lexical Complexity in English Texts.

Matthew Shardlow, Richard Evans, Marcos Zampieri

CoRR, 2021

The Role of Text Simplification Operations in Evaluation.

Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla, Sophia Ananiadou

Proceedings of the First Workshop on Current Trends in Text Simplification (CTTS 2021) co-located with the 37th Conference of the Spanish Society for Natural Language Processing (SEPLN2021), 2021

SemEval-2021 Task 1: Lexical Complexity Prediction.

Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, Marcos Zampieri

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Manchester Metropolitan at SemEval-2021 Task 1: Convolutional Networks for Complex Word Identification.

Robert Flynn, Matthew Shardlow

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Towards a corpus for credibility assessment in software practitioner blog articles.

Ashley Williams, Matthew Shardlow, Austen Rainer

Proceedings of the EASE 2021: Evaluation and Assessment in Software Engineering, 2021

Investigating Text Simplification Evaluation.

Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla, Sophia Ananiadou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

HTSS: A novel hybrid text summarisation and simplification architecture.

Farooq Zaman, Matthew Shardlow, Saeed-Ul Hassan, Naif Radi Aljohani, Raheel Nawaz

Inf. Process. Manag., 2020

CompLex - A New Corpus for Lexical Complexity Predicition from Likert Scale Data.

Matthew Shardlow, Michael Cooper, Marcos Zampieri

CoRR, 2020

CompLex - A New Corpus for Lexical Complexity Predicition from LikertScale Data.

Matthew Shardlow, Marcos Zampieri, Michael Cooper

Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties, 2020

Detecting Multiword Expression Type Helps Lexical Complexity Assessment.

Ekaterina Kochmar, Sian Gooding, Matthew Shardlow

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

CombiNMT: An Exploration into Neural Text Simplification Models.

Michael Cooper, Matthew Shardlow

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Multi-Word Lexical Simplification.

Piotr Przybyla, Matthew Shardlow

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience.

Matthew Shardlow, Meizhi Ju, Maolin Li, Christian O'Reilly, Elisabetta Iavarone, John McNaught, Sophia Ananiadou

Neuroinformatics, 2019

Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table.

Matthew Shardlow, Raheel Nawaz

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Identification of research hypotheses and new knowledge from scientific literature.

Matthew Shardlow, Riza Batista-Navarro, Paul Thompson, Raheel Nawaz, John McNaught, Sophia Ananiadou

BMC Medical Informatics Decis. Mak., 2018

Manchester Metropolitan at SemEval-2018 Task 2: Random Forest with an Ensemble of Features for Predicting Emoji in Tweets.

Luciano Gerber, Matthew Shardlow

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

A New Corpus to Support Text Mining for the Curation of Metabolites in the ChEBI Database.

Matthew Shardlow, Nhung T. H. Nguyen, Gareth I. Owen, Claire O'Donovan, Andrew Leach, John McNaught, Steve Turner, Sophia Ananiadou

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2016

Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts.

Ioannis Korkontzelos, Azadeh Nikfarjam, Matthew Shardlow, Abeed Sarker, Sophia Ananiadou, Graciela Gonzalez-Hernandez

J. Biomed. Informatics, 2016

Text mining resources for the life sciences.

Piotr Przybyla, Matthew Shardlow, Sophie Aubin, Robert Bossy, Richard Eckart de Castilho, Stelios Piperidis, John McNaught, Sophia Ananiadou

Database J. Biol. Databases Curation, 2016

NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features.

Piotr Przybyla, Nhung T. H. Nguyen, Matthew Shardlow, Georgios Kontonatsios, Sophia Ananiadou

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

2015

Lexical simplification: optimising the pipeline.

Matthew Shardlow

PhD thesis, 2015

2014

National Centre for Text Mining (NaCTeM): Manchester, United Kingdom.

Georgios Kontonatsios, Matt Shardlow

XRDS, 2014

Out in the Open: Finding and Categorising Errors in the Lexical Simplification Pipeline.

Matthew Shardlow

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

2013

A Comparison of Techniques to Automatically Identify Complex Words.

Matthew Shardlow

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

The CW Corpus: A New Resource for Evaluating the Identification of Complex Words.

Matthew Shardlow

Proceedings of the Second Workshop on Predicting and Improving Text Readability for Target Reader Populations, 2013