Shardlow, M. - NaCTeM Publications - Aigaion 2.0

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Primeiro nome(s):	M.
Sobrenome(s):	Shardlow

Goldsack, T., Luo, Z., Xie, Q., Scarton, C., Shardlow, M., Ananiadou, S. and Lin, C., Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles, in: Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, páginas 468-477, 2024

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Vasquez-Rodriguez, L., Nguyen, N. T. H., Przybyɫa, P. and Shardlow, M., Simple is not Enough: Document-level Text Simplification using Readability and Coherence, arXiv, 2024

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Goldsack, T., Luo, Z., Xie, Q., Scarton, C., Shardlow, M., Ananiadou, S. and Lin, C., BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles, in: Proceedings of BioNLP 2023, páginas 468–477, 2023

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Vasquez-Rodriguez, L., Nguyen, N. T. H., Shardlow, M. and Ananiadou, S., UoM&MMU at TSAR-2022 Shared Task: Prompt Learning for Lexical Simplification, in: Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022), páginas 218-224, 2022

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Vasquez-Rodriguez, L., Shardlow, M., Przybyɫa, P. and Ananiadou, S., Investigating Text Simplification Evaluation, in: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, páginas 876-882, 2021

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Vasquez-Rodriguez, L., Shardlow, M., Przybyɫa, P. and Ananiadou, S., The Role of Text Simplification Operations in Evaluation, in: Proceedings of the First Workshop on Current Trends in Text Simplification (CTTS-2021), páginas 57-69, 2021

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Shardlow, M., Nguyen, N. T. H., Owen, G., Turner, S., O'Donovan, C., Leach, A., McNaught, J. and Ananiadou, S., A New Corpus to Support Text Mining for the Curation of Metabolites in the ChEBI Database, in: Proceedings of LREC 2018, páginas 280-285, 2018

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Shardlow, M., Ju., M., Li, M., O'Reilly, C., Iavarone, E., McNaught, J. and Ananiadou, S., A Text Mining Pipeline Using Active and Deep Learning for Curating Information in Computational Neuroscience (2018), in: Neuroinformatics

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Shardlow, M., Batista-Navarro, R., Thompson, P., Nawaz, R., McNaught, J. and Ananiadou, S., Identification of Research Hypotheses and New Knowledge from Scientific Literature (2018), in: BMC Medical Informatics and Decision Making, 18(46)

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Korkontzelos, I., Nikfarjam, A., Shardlow, M., Sarker, A., Ananiadou, S. and Gonzalez, G., Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts (2016), in: Journal of Biomedical Informatics, 62(148-158)

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Shardlow, M., Przybyɫa, P., Batista-Navarro, R., Carter, J., McNaught, J. and Ananiadou, S., Facilitating and promoting web annotation with Argo, in: Proceedings of I Annotate 2016, 2016

Przybyɫa, P., Nguyen, N. T. H., Shardlow, M., Kontonatsios, G. and Ananiadou, S., NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features, in: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), páginas 614-620, 2016

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Przybyɫa, P., Shardlow, M., Aubin, S., Bossy, R., {Eckart de Castilho}, R., Piperidis, S., McNaught, J. and Ananiadou, S., Text Mining Resources for the Life Sciences (2016), in: Database: The Journal of Biological Databases and Curation(baw145)

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tempo de processamento: 0.0576 segundos.