Matthew Shardlow

Orcid: 0000-0003-1129-2750

According to our database1, Matthew Shardlow authored at least 45 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Asking questions that are "close to the bone": integrating thematic analysis and natural language processing to explore the experiences of people with traumatic brain injuries engaging with patient-reported outcome measures.
Frontiers Digit. Health, 2024

MultiLS: A Multi-task Lexical Simplification Framework.
CoRR, 2024

2023
Generative image captioning in Urdu using deep learning.
J. Ambient Intell. Humaniz. Comput., 2023

Lexical Complexity Prediction: An Overview.
ACM Comput. Surv., 2023

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

Large Language Models and Control Mechanisms Improve Text Readability of Biomedical Abstracts.
CoRR, 2023

Deep Learning Approaches to Lexical Simplification: A Survey.
CoRR, 2023

Natural language processing on customer note data.
CoRR, 2023

Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification.
CoRR, 2023

BLESS: Benchmarking Large Language Models on Sentence Simplification.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles.
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.
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.
Lang. Resour. Evaluation, 2022

Lexical simplification benchmarks for English, Portuguese, and Spanish.
Frontiers Artif. Intell., 2022

One emoji, many meanings: A corpus for the prediction and disambiguation of emoji sense.
Expert Syst. Appl., 2022

Deanthropomorphising NLP: Can a Language Model Be Conscious?
CoRR, 2022

Simple TICO-19: A Dataset for Joint Translation and Simplification of COVID-19 Texts.
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.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Predicting Lexical Complexity in English Texts.
CoRR, 2021

The Role of Text Simplification Operations in Evaluation.
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.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Manchester Metropolitan at SemEval-2021 Task 1: Convolutional Networks for Complex Word Identification.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Towards a corpus for credibility assessment in software practitioner blog articles.
Proceedings of the EASE 2021: Evaluation and Assessment in Software Engineering, 2021

Investigating Text Simplification Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
HTSS: A novel hybrid text summarisation and simplification architecture.
Inf. Process. Manag., 2020

CompLex - A New Corpus for Lexical Complexity Predicition from Likert Scale Data.
CoRR, 2020

CompLex - A New Corpus for Lexical Complexity Predicition from LikertScale Data.
Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties, 2020

Detecting Multiword Expression Type Helps Lexical Complexity Assessment.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

CombiNMT: An Exploration into Neural Text Simplification Models.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Multi-Word Lexical Simplification.
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.
Neuroinformatics, 2019

Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Identification of research hypotheses and new knowledge from scientific literature.
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.
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.
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.
J. Biomed. Informatics, 2016

Text mining resources for the life sciences.
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.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

2015
Lexical simplification: optimising the pipeline.
PhD thesis, 2015

2014
National Centre for Text Mining (NaCTeM): Manchester, United Kingdom.
XRDS, 2014

Out in the Open: Finding and Categorising Errors in the Lexical Simplification Pipeline.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

2013
A Comparison of Techniques to Automatically Identify Complex Words.
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.
Proceedings of the Second Workshop on Predicting and Improving Text Readability for Target Reader Populations, 2013


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