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1
Improving tokenisation by alternative treatment of spaces
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2
The (un)suitability of automatic evaluation metrics for text simplification
Alva-Manchego, F.; Scarton, C.; Specia, L.. - : MIT Press, 2021
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3
Assessing idiomaticity representations in vector models with a noun compound dataset labeled at type and token levels
Garcia, M.; Kramer Vieira, T.; Scarton, C.. - : Association for Computational Linguistics (ACL), 2021
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4
Probing for idiomaticity in vector space models
Garcia, M.; Vieira, T.K.; Scarton, C.. - : Association for Computational Linguistics (ACL), 2021
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5
Multistage BiCross encoder for multilingual access to COVID-19 health information
Singh, I.; Scarton, C.; Bontcheva, K.. - : Public Library of Science, 2021
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6
The false COVID-19 narratives that keep being debunked : a spatiotemporal analysis
Abstract: The onset of the Coronavirus disease 2019 (COVID-19) pandemic instigated a global infodemic that has brought unprecedented challenges for society as a whole. During this time, a number of manual fact-checking initiatives have emerged to alleviate the spread of dis/mis-information. This study is about COVID-19 debunks published in multiple languages by different fact-checking organisations, sometimes as far as several months apart, despite the fact that the claim has already been fact-checked before. The spatiotemporal analysis reveals that similar or nearly duplicate false COVID-19 narratives have been spreading in multifarious modalities on various social media platforms in different countries. We also find that misinformation involving general medical advice has spread across multiple countries and hence has the highest proportion of false COVID-19 narratives that keep being debunked. Furthermore, as manual fact-checking is an onerous task in itself, therefore debunking similar claims recurrently is leading to a waste of resources. To this end, we propound the idea of the inclusion of multilingual debunk search in the fact-checking pipeline.
URL: https://eprints.whiterose.ac.uk/177508/1/2107.12303.pdf
https://eprints.whiterose.ac.uk/177508/
https://arxiv.org/abs/2107.12303v2
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7
AStitchInLanguageModels : dataset and methods for the exploration of idiomaticity in pre-trained language models
Tayyar Madabushi, H.; Gow-Smith, E.; Scarton, C.. - : Association for Computational Linguistics, 2021
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8
ASSET : a dataset for tuning and evaluation of sentence simplification models with multiple rewriting transformations
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9
Toxic language detection in social media for Brazilian Portuguese : new dataset and multilingual analysis
Leite, J.A.; Silva, D.F.; Bontcheva, K.. - : Association for Computational Linguistics (ACL), 2020
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10
Measuring what counts : the case of rumour stance classification
Scarton, C.; Silva, D.F.; Bontcheva, K.. - : Association for Computational Linguistics (ACL), 2020
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11
Data-driven sentence simplification: Survey and benchmark
Alva-Manchego, F.; Scarton, C.; Specia, L.. - : MIT Press, 2020
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12
EASSE: easier automatic sentence simplification evaluation
Alva-Manchego, F.; Martin, L.; Scarton, C.. - : Association for Computational Linguistics, 2019
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13
Exploring gap filling as a cheaper alternative to reading comprehension questionnaires when evaluating machine translation for gisting
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14
Multi-level translation quality prediction with QuEst++
Specia, L.; Paetzold, G.H.; Scarton, C.. - : Association for Computational Linguistics (ACL), 2015
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15
Automatic classification of written descriptions by healthy adults: An overview of the application of natural language processing and machine learning techniques to clinical discourse analysis
Toledo, C.M.; Cunha, A.; Scarton, C.. - : Associação Neurologia Cognitiva e do Comportamento, 2014
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