Matthew Shardlow

Manchester Metropolitan University — United Kingdom

Computer Science · Physical Sciences

20h-index1.7kcitations99works1.92yr avg
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Research Topics

Text Readability and Simplification(50), Natural Language Processing Techniques(49), Topic Modeling(44), Sentiment Analysis and Opinion Mining(8), Biomedical Text Mining and Ontologies(8)

Publications99 total

Using natural language processing to explore differences in healthcare professionals’ language on Functional Neurological Disorder: a comparative topic and sentiment analysis study
Frontiers in Digital Health·2026Open Access
Exploring Zero-Shot ACSA with Unified Meaning Representation in Chain-of-Thought Prompting
ArXiv.org·2025Open Access
Exploring Zero-Shot ACSA with Unified Meaning Representation in Chain-of-Thought Prompting
arXiv (Cornell University)·2025Open Access
Using Natural Language Processing to Explore Differences in Healthcare Professionals’ Language On Functional Neurological Disorders: A Comparative Topic and Sentiment Analysis Study
2025Open Access
Efficient On-Device Text Simplification for Firefox with Synthetic Data Fine-Tuning
2025Open Access
Aspect–Sentiment Quad Prediction with Distilled Large Language Models
International conference Recent advances in natural language processing·2025Open Access
Are You Sure You’re Positive? Consolidating Chain-of-Thought Agents with Uncertainty Quantification for Aspect-Category Sentiment Analysis
2025Open Access
Front Matter
2025Open Access
Exploring Supervised Approaches to the Detection of Anthropomorphic Language in the Reporting of NLP Venues
2025Open Access
Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks
International conference Recent advances in natural language processing·2025Open Access
GPT-Based Lexical Simplification for Multi-Word Expressions Using Prompt Engineering
International conference Recent advances in natural language processing·2025Open Access
Learn, Achieve, Predict, Propose, Forget, Suffer: Analysing and Classifying Anthropomorphisms of LLMs
2025Open Access
Simple is not Enough: Document-level Text Simplification using Readability and Coherence
arXiv (Cornell University)·2024Open Access
Shifting NER into High Gear: The Auto-AdvER Approach
arXiv (Cornell University)·2024Open Access
Deanthropomorphising NLP: Can a language model be conscious?
PLoS ONE·2024· 5 citedOpen Access
Deep learning approaches to lexical simplification: A survey
Journal of Intelligent Information Systems·2024· 10 citedOpen Access
Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles
arXiv (Cornell University)·2024· 1 citedOpen Access
Large Language Models for Biomedical Text Simplification: Promising But Not There Yet
arXiv (Cornell University)·2024· 1 citedOpen Access
SATS: simplification aware text summarization of scientific documents
Frontiers in Artificial Intelligence·2024· 2 citedOpen Access
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 in Digital Health·2024· 1 citedOpen Access
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Frequent Co-authors

Marcos Zampieri(14), Sophia Ananiadou(10), Piotr Przybyła(8), Raheel Nawaz(7), Kai North(7), Richard Evans(5), Saeed‐Ul Hassan(5), John McNaught(4), Laura Vásquez-Rodríguez(4), Gustavo Henrique Paetzold(3), Farooq Zaman(3), Naif Radi Aljohani(3), M. Cooper(3), Tharindu Ranasinghe(3), Nhung T. H. Nguyen(3), Georgios Kontonatsios(2), Sanja Štajner(2), Daniel Ferrés(2), Horacio Saggion(2), Tomas Goldsack(2)