The CW Corpus: A New Resource for Evaluating the Identification of Complex Words. - Matthew Shardlow (PITR@ACL, 2013)

A Comparison of Techniques to Automatically Identify Complex Words. - Matthew Shardlow (ACL (Student Research Workshop), 2013)

Out in the Open: Finding and Categorising Errors in the Lexical Simplification Pipeline. - Matthew Shardlow (LREC, 2014)

National Centre for Text Mining (NaCTeM): Manchester, United Kingdom. - Georgios Kontonatsios; Matt Shardlow (XRDS, 2014)

Lexical simplification: optimising the pipeline. - Matthew Shardlow (2015)

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 001; Matthew Shardlow; Georgios Kontonatsios; Sophia Ananiadou (SemEval@NAACL-HLT, 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)

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)

A New Corpus to Support Text Mining for the Curation of Metabolites in the ChEBI Database. - Matthew Shardlow; Nhung T. H. Nguyen 001; Gareth I. Owen; Claire O'Donovan; Andrew Leach; John McNaught; Steve Turner; Sophia Ananiadou (LREC, 2018)

Manchester Metropolitan at SemEval-2018 Task 2: Random Forest with an Ensemble of Features for Predicting Emoji in Tweets. - Luciano Gerber; Matthew Shardlow (SemEval@NAACL-HLT, 2018)

Identification of research hypotheses and new knowledge from scientific literature. - Matthew Shardlow; Riza Batista-Navarro; Paul Thompson 002; Raheel Nawaz; John McNaught; Sophia Ananiadou (BMC Medical Informatics Decis. Mak., 2018)

Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table. - Matthew Shardlow; Raheel Nawaz (ACL (1), 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)

Multi-Word Lexical Simplification. - Piotr Przybyla; Matthew Shardlow (COLING, 2020)

CombiNMT: An Exploration into Neural Text Simplification Models. - Michael Cooper; Matthew Shardlow (LREC, 2020)

Detecting Multiword Expression Type Helps Lexical Complexity Assessment. - Ekaterina Kochmar; Sian Gooding; Matthew Shardlow (LREC, 2020)

CompLex - A New Corpus for Lexical Complexity Predicition from LikertScale Data. - Matthew Shardlow; Marcos Zampieri; Michael Cooper (READI@LREC, 2020)

CompLex - A New Corpus for Lexical Complexity Predicition from Likert Scale Data. - Matthew Shardlow; Michael Cooper; Marcos Zampieri (CoRR, 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)

Investigating Text Simplification Evaluation. - Laura Vásquez-Rodríguez; Matthew Shardlow; Piotr Przybyla; Sophia Ananiadou (ACL/IJCNLP (Findings), 2021)

Towards a corpus for credibility assessment in software practitioner blog articles. - Ashley Williams; Matthew Shardlow; Austen Rainer (EASE, 2021)

Manchester Metropolitan at SemEval-2021 Task 1: Convolutional Networks for Complex Word Identification. - Robert Flynn; Matthew Shardlow (SemEval@ACL/IJCNLP, 2021)

SemEval-2021 Task 1: Lexical Complexity Prediction. - Matthew Shardlow; Richard Evans 002; Gustavo Henrique Paetzold; Marcos Zampieri (SemEval@ACL/IJCNLP, 2021)

The Role of Text Simplification Operations in Evaluation. - Laura Vásquez-Rodríguez; Matthew Shardlow; Piotr Przybyla; Sophia Ananiadou (CTTS@SEPLN, 2021)

Predicting Lexical Complexity in English Texts. - Matthew Shardlow; Richard Evans 002; Marcos Zampieri (CoRR, 2021)

SemEval-2021 Task 1: Lexical Complexity Prediction. - Matthew Shardlow; Richard Evans 002; Gustavo Paetzold; Marcos Zampieri (Zenodo, 2021)

Using NLP to quantify the environmental cost and diversity benefits of in-person NLP conferences. - Piotr Przybyla; Matthew Shardlow (ACL (Findings), 2022)

Towards Readability-Controlled Machine Translation of COVID-19 Texts. - Fernando Alva-Manchego; Matthew Shardlow (EAMT, 2022)

Extending a corpus for assessing the credibility of software practitioner blog articles using meta-knowledge. - Ashley Williams; Matthew Shardlow (EASE, 2022)

Simple TICO-19: A Dataset for Joint Translation and Simplification of COVID-19 Texts. - Matthew Shardlow; Fernando Alva-Manchego (LREC, 2022)

Deanthropomorphising NLP: Can a Language Model Be Conscious? - Matthew Shardlow; Piotr Przybyla (CoRR, 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)

Lexical simplification benchmarks for English, Portuguese, and Spanish. - Sanja Stajner; Daniel Ferrés; Matthew Shardlow; Kai North; Marcos Zampieri; Horacio Saggion (Frontiers Artif. Intell., 2022)

Predicting lexical complexity in English texts: the Complex 2.0 dataset. - Matthew Shardlow; Richard Evans 002; Marcos Zampieri (Lang. Resour. Evaluation, 2022)

ALEXSIS+: Improving Substitute Generation and Selection for Lexical Simplification with Information Retrieval. - Kai North; Alphaeus Dmonte; Tharindu Ranasinghe; Matthew Shardlow; Marcos Zampieri (BEA@ACL, 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 (BioNLP@ACL, 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 (EMNLP, 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)

Natural language processing on customer note data. - Andrew Hilditch; David Webb; Jozef Baca; Tom Armitage; Matthew Shardlow; Peter Appleby (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)

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)

Lexical Complexity Prediction: An Overview. - Kai North; Marcos Zampieri; Matthew Shardlow (ACM Comput. Surv., 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)

The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline. - Matthew Shardlow; Fernando Alva-Manchego; Riza Batista-Navarro; Stefan Bott; Saúl Calderón Ramírez; Rémi Cardon; Thomas François; Akio Hayakawa; Andrea Horbach; Anna Hülsing; Yusuke Ide; Joseph Marvin Imperial; et al. (BEA, 2024)

Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles. - Tomas Goldsack; Carolina Scarton; Matthew Shardlow; Chenghua Lin (BioNLP@ACL, 2024)

MMU NLP at CheckThat! 2024: Homoglyphs are Adversarial Attacks. - Charlie Roadhouse; Matthew Shardlow; Ashley Williams (CLEF (Working Notes), 2024)

Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts. - Zihao Li; Samuel Belkadi; Nicolo Micheletti; Lifeng Han; Matthew Shardlow; Goran Nenadic (ICHI, 2024)

MultiLS: A Multi-task Lexical Simplification Framework. - Kai North; Tharindu Ranasinghe; Matthew Shardlow; Marcos Zampieri (CoRR, 2024)

BeeManc at the PLABA Track of TAC-2023: Investigating LLMs and Controllable Attributes for Improving Biomedical Text Readability. - Zihao Li; Samuel Belkadi; Nicolo Micheletti; Lifeng Han; Matthew Shardlow; Goran Nenadic (CoRR, 2024)

Shifting NER into High Gear: The Auto-AdvER Approach. - Filippos Ventirozos; Ioanna Nteka; Tania Nandy; Jozef Baca; Peter Appleby; Matthew Shardlow (CoRR, 2024)

Simple is not Enough: Document-level Text Simplification using Readability and Coherence. - Laura Vásquez-Rodríguez; Nhung T. H. Nguyen 001; Piotr Przybyla; Matthew Shardlow; Sophia Ananiadou (CoRR, 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. - Daniela Di Basilio; Lorraine King; Sarah Lloyd; Panayiotis Michael; Matthew Shardlow (Frontiers Digit. Health, 2024)

SATS: simplification aware text summarization of scientific documents. - Farooq Zaman; Faisal Kamiran; Matthew Shardlow; Saeed-Ul Hassan; Asim Karim; Naif Radi Aljohani (Frontiers Artif. Intell., 2024)

How do control tokens affect natural language generation tasks like text simplification. - Zihao Li; Matthew Shardlow (Nat. Lang. Eng., 2024)

Exploring Supervised Approaches to the Detection of Anthropomorphic Language in the Reporting of NLP Venues. - Matthew Shardlow; Ashley Williams; Charlie Roadhouse; Filippos Ventirozos; Piotr Przybyla (ACL (Findings), 2025)

Deep learning approaches to lexical simplification: A survey. - Kai North; Tharindu Ranasinghe; Matthew Shardlow; Marcos Zampieri (J. Intell. Inf. Syst., 2025)