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2020 – today
- 2024
[j12]Daniela Di Basilio, Lorraine King, Sarah Lloyd, Panayiotis Michael, Matthew Shardlow:
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 6 (2024)- [c27]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, Adam Nohejl, Kai North, Laura Occhipinti, Nelson Perez-Rojas, Nishat Raihan, Tharindu Ranasinghe, Martin Solis-Salazar, Sanja Stajner, Marcos Zampieri, Horacio Saggion:
The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline. BEA 2024: 571-589 - [c26]Tomas Goldsack, Carolina Scarton, Matthew Shardlow, Chenghua Lin:
Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles. BioNLP@ACL 2024: 122-131 - [c25]Charlie Roadhouse, Matthew Shardlow, Ashley Williams:
MMU NLP at CheckThat! 2024: Homoglyphs are Adversarial Attacks. CLEF (Working Notes) 2024: 580-589 - [c24]Zihao Li, Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Matthew Shardlow, Goran Nenadic:
Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical Abstracts. ICHI 2024: 265-274 - [i18]Kai North, Tharindu Ranasinghe, Matthew Shardlow, Marcos Zampieri:
MultiLS: A Multi-task Lexical Simplification Framework. CoRR abs/2402.14972 (2024) - [i17]Zihao Li, Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Matthew Shardlow, Goran Nenadic:
BeeManc at the PLABA Track of TAC-2023: Investigating LLMs and Controllable Attributes for Improving Biomedical Text Readability. CoRR abs/2408.03871 (2024) - [i16]Tomas Goldsack, Carolina Scarton, Matthew Shardlow, Chenghua Lin:
Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles. CoRR abs/2408.08566 (2024) - 2023
- [j11]Kai North
, Marcos Zampieri, Matthew Shardlow:
Lexical Complexity Prediction: An Overview. ACM Comput. Surv. 55(9): 179:1-179:42 (2023) - [j10]Muhammad Kashif Afzal, Matthew Shardlow, Suppawong Tuarob, Farooq Zaman, Raheem Sarwar, Mohsen Ali, Naif Radi Aljohani, Miltiades D. Lytras, Raheel Nawaz, Saeed-Ul Hassan:
Generative image captioning in Urdu using deep learning. J. Ambient Intell. Humaniz. Comput. 14(6): 7719-7731 (2023) - [c23]Kai North, Alphaeus Dmonte, Tharindu Ranasinghe, Matthew Shardlow, Marcos Zampieri:
ALEXSIS+: Improving Substitute Generation and Selection for Lexical Simplification with Information Retrieval. BEA@ACL 2023: 404-413 - [c22]Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin:
BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles. BioNLP@ACL 2023: 468-477 - [c21]Tannon Kew, Alison Chi, Laura Vásquez-Rodríguez, Sweta Agrawal, Dennis Aumiller, Fernando Alva-Manchego, Matthew Shardlow:
BLESS: Benchmarking Large Language Models on Sentence Simplification. EMNLP 2023: 13291-13309 - [i15]Horacio Saggion, Sanja Stajner, Daniel Ferrés, Kim Cheng Sheang, Matthew Shardlow, Kai North, Marcos Zampieri:
Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification. CoRR abs/2302.02888 (2023) - [i14]Kai North, Marcos Zampieri, Matthew Shardlow:
Lexical Complexity Prediction: An Overview. CoRR abs/2303.04851 (2023) - [i13]Andrew Hilditch, David Webb, Jozef Baca, Tom Armitage, Matthew Shardlow, Peter Appleby:
Natural language processing on customer note data. CoRR abs/2305.02029 (2023) - [i12]Kai North, Tharindu Ranasinghe, Matthew Shardlow, Marcos Zampieri:
Deep Learning Approaches to Lexical Simplification: A Survey. CoRR abs/2305.12000 (2023) - [i11]Zihao Li, Samuel Belkadi, Nicolo Micheletti, Lifeng Han, Matthew Shardlow, Goran Nenadic:
Large Language Models and Control Mechanisms Improve Text Readability of Biomedical Abstracts. CoRR abs/2309.13202 (2023) - [i10]Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin:
Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles. CoRR abs/2309.17332 (2023) - [i9]Tannon Kew, Alison Chi, Laura Vásquez-Rodríguez, Sweta Agrawal, Dennis Aumiller, Fernando Alva-Manchego, Matthew Shardlow:
BLESS: Benchmarking Large Language Models on Sentence Simplification. CoRR abs/2310.15773 (2023) - 2022
- [j9]Matthew Shardlow, Luciano Gerber, Raheel Nawaz:
One emoji, many meanings: A corpus for the prediction and disambiguation of emoji sense. Expert Syst. Appl. 198: 116862 (2022) - [j8]Sanja Stajner, Daniel Ferrés, Matthew Shardlow, Kai North, Marcos Zampieri, Horacio Saggion:
Lexical simplification benchmarks for English, Portuguese, and Spanish. Frontiers Artif. Intell. 5 (2022) - [j7]Matthew Shardlow, Richard Evans, Marcos Zampieri:
Predicting lexical complexity in English texts: the Complex 2.0 dataset. Lang. Resour. Evaluation 56(4): 1153-1194 (2022) - [c20]Piotr Przybyla, Matthew Shardlow:
Using NLP to quantify the environmental cost and diversity benefits of in-person NLP conferences. ACL (Findings) 2022: 3853-3863 - [c19]Fernando Alva-Manchego, Matthew Shardlow:
Towards Readability-Controlled Machine Translation of COVID-19 Texts. EAMT 2022: 285-286 - [c18]Ashley Williams, Matthew Shardlow:
Extending a corpus for assessing the credibility of software practitioner blog articles using meta-knowledge. EASE 2022: 305-310 - [c17]Matthew Shardlow, Fernando Alva-Manchego:
Simple TICO-19: A Dataset for Joint Translation and Simplification of COVID-19 Texts. LREC 2022: 3093-3102 - [i8]Sanja Stajner, Daniel Ferrés, Matthew Shardlow, Kai North, Marcos Zampieri, Horacio Saggion:
Lexical Simplification Benchmarks for English, Portuguese, and Spanish. CoRR abs/2209.05301 (2022) - [i7]Matthew Shardlow, Piotr Przybyla:
Deanthropomorphising NLP: Can a Language Model Be Conscious? CoRR abs/2211.11483 (2022) - 2021
- [c16]Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla, Sophia Ananiadou:
Investigating Text Simplification Evaluation. ACL/IJCNLP (Findings) 2021: 876-882 - [c15]Ashley Williams, Matthew Shardlow, Austen Rainer:
Towards a corpus for credibility assessment in software practitioner blog articles. EASE 2021: 100-108 - [c14]Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, Marcos Zampieri:
SemEval-2021 Task 1: Lexical Complexity Prediction. SemEval@ACL/IJCNLP 2021: 1-16 - [c13]Robert Flynn, Matthew Shardlow:
Manchester Metropolitan at SemEval-2021 Task 1: Convolutional Networks for Complex Word Identification. SemEval@ACL/IJCNLP 2021: 603-608 - [c12]Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla, Sophia Ananiadou:
The Role of Text Simplification Operations in Evaluation. CTTS@SEPLN 2021 - [i6]Matthew Shardlow, Richard Evans, Marcos Zampieri:
Predicting Lexical Complexity in English Texts. CoRR abs/2102.08773 (2021) - [i5]Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, Marcos Zampieri:
SemEval-2021 Task 1: Lexical Complexity Prediction. CoRR abs/2106.00473 (2021) - [i4]Ashley Williams, Matthew Shardlow, Austen Rainer:
Towards a corpus for credibility assessment in software practitioner blog articles. CoRR abs/2106.11159 (2021) - [i3]Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla, Sophia Ananiadou:
Investigating Text Simplification Evaluation. CoRR abs/2107.13662 (2021) - 2020
- [j6]Farooq Zaman, Matthew Shardlow, Saeed-Ul Hassan, Naif Radi Aljohani, Raheel Nawaz:
HTSS: A novel hybrid text summarisation and simplification architecture. Inf. Process. Manag. 57(6): 102351 (2020) - [c11]Piotr Przybyla, Matthew Shardlow:
Multi-Word Lexical Simplification. COLING 2020: 1435-1446 - [c10]Matthew Shardlow, Marcos Zampieri, Michael Cooper:
CompLex - A New Corpus for Lexical Complexity Predicition from LikertScale Data. READI@LREC 2020: 57-62 - [c9]Ekaterina Kochmar, Sian Gooding, Matthew Shardlow:
Detecting Multiword Expression Type Helps Lexical Complexity Assessment. LREC 2020: 4426-4435 - [c8]Michael Cooper, Matthew Shardlow:
CombiNMT: An Exploration into Neural Text Simplification Models. LREC 2020: 5588-5594 - [i2]Matthew Shardlow, Michael Cooper, Marcos Zampieri:
CompLex - A New Corpus for Lexical Complexity Predicition from Likert Scale Data. CoRR abs/2003.07008 (2020) - [i1]Ekaterina Kochmar, Sian Gooding, Matthew Shardlow:
Detecting Multiword Expression Type Helps Lexical Complexity Assessment. CoRR abs/2005.05692 (2020)
2010 – 2019
- 2019
- [j5]Matthew Shardlow, Meizhi Ju, Maolin Li, Christian O'Reilly, Elisabetta Iavarone, John McNaught, Sophia Ananiadou:
A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience. Neuroinformatics 17(3): 391-406 (2019) - [c7]Matthew Shardlow, Raheel Nawaz:
Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table. ACL (1) 2019: 380-389 - 2018
- [j4]Matthew Shardlow, Riza Batista-Navarro, Paul Thompson, Raheel Nawaz, John McNaught, Sophia Ananiadou:
Identification of research hypotheses and new knowledge from scientific literature. BMC Medical Informatics Decis. Mak. 18(1): 46:1-46:13 (2018) - [c6]Matthew Shardlow, Nhung T. H. Nguyen, Gareth I. Owen, Claire O'Donovan, Andrew Leach, John McNaught, Steve Turner, Sophia Ananiadou:
A New Corpus to Support Text Mining for the Curation of Metabolites in the ChEBI Database. LREC 2018 - [c5]Luciano Gerber, Matthew Shardlow:
Manchester Metropolitan at SemEval-2018 Task 2: Random Forest with an Ensemble of Features for Predicting Emoji in Tweets. SemEval@NAACL-HLT 2018: 491-496 - 2016
- [j3]Piotr Przybyla, Matthew Shardlow, Sophie Aubin, Robert Bossy, Richard Eckart de Castilho, Stelios Piperidis, John McNaught, Sophia Ananiadou:
Text mining resources for the life sciences. Database J. Biol. Databases Curation 2016 (2016) - [j2]Ioannis Korkontzelos, Azadeh Nikfarjam, Matthew Shardlow, Abeed Sarker, Sophia Ananiadou, Graciela Gonzalez-Hernandez:
Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts. J. Biomed. Informatics 62: 148-158 (2016) - [c4]Piotr Przybyla, Nhung T. H. Nguyen, Matthew Shardlow, Georgios Kontonatsios, Sophia Ananiadou:
NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features. SemEval@NAACL-HLT 2016: 614-620 - 2015
- [b1]Matthew Shardlow:
Lexical simplification: optimising the pipeline. University of Manchester, UK, 2015 - 2014
- [j1]Georgios Kontonatsios, Matt Shardlow:
National Centre for Text Mining (NaCTeM): Manchester, United Kingdom. XRDS 21(1): 62-63 (2014) - [c3]Matthew Shardlow:
Out in the Open: Finding and Categorising Errors in the Lexical Simplification Pipeline. LREC 2014: 1583-1590 - 2013
- [c2]Matthew Shardlow:
A Comparison of Techniques to Automatically Identify Complex Words. ACL (Student Research Workshop) 2013: 103-109 - [c1]Matthew Shardlow:
The CW Corpus: A New Resource for Evaluating the Identification of Complex Words. PITR@ACL 2013: 69-77
Coauthor Index
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last updated on 2024-10-21 20:33 CEST by the dblp team
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