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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 15 of 15 1 Improving tokenisation by alternative treatment of spaces Gow-Smith, E.; Scarton, C.; Madabushi, H.T.. - 2022 BASE Show details 2 The (un)suitability of automatic evaluation metrics for text simplification Alva-Manchego, F.; Scarton, C.; Specia, L.. - : MIT Press, 2021 BASE Show details 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 BASE Show details 4 Probing for idiomaticity in vector space models Garcia, M.; Vieira, T.K.; Scarton, C.. - : Association for Computational Linguistics (ACL), 2021 BASE Show details 5 Multistage BiCross encoder for multilingual access to COVID-19 health information Singh, I.; Scarton, C.; Bontcheva, K.. - : Public Library of Science, 2021 BASE Show details 6 The false COVID-19 narratives that keep being debunked : a spatiotemporal analysis Singh, I.; Bontcheva, K.; Scarton, C.. - 2021 BASE Show details 7 AStitchInLanguageModels : dataset and methods for the exploration of idiomaticity in pre-trained language models Tayyar Madabushi, H.; Gow-Smith, E.; Scarton, C.; Villavicencio, A.. - : Association for Computational Linguistics, 2021 Abstract: Despite their success in a variety of NLP tasks, pre-trained language models, due to their heavy reliance on compositionality, fail in effectively capturing the meanings of multiword expressions (MWEs), especially idioms. Therefore, datasets and methods to improve the representation of MWEs are urgently needed. Existing datasets are limited to providing the degree of idiomaticity of expressions along with the literal and, where applicable, (a single) non-literal interpretation of MWEs. This work presents a novel dataset of naturally occurring sentences containing MWEs manually classified into a fine-grained set of meanings, spanning both English and Portuguese. We use this dataset in two tasks designed to test i) a language model’s ability to detect idiom usage, and ii) the effectiveness of a language model in generating representations of sentences containing idioms. Our experiments demonstrate that, on the task of detecting idiomatic usage, these models perform reasonably well in the one-shot and few-shot scenarios, but that there is significant scope for improvement in the zero-shot scenario. On the task of representing idiomaticity, we find that pre-training is not always effective, while fine-tuning could provide a sample efficient method of learning representations of sentences containing MWEs. URL: https://eprints.whiterose.ac.uk/184561/ https://eprints.whiterose.ac.uk/184561/1/2021.findings-emnlp.294.pdf BASE Hide details 8 ASSET : a dataset for tuning and evaluation of sentence simplification models with multiple rewriting transformations Alva-Manchego, F.; Martin, L.; Bordes, A.. - 2020 BASE Show details 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 BASE Show details 10 Measuring what counts : the case of rumour stance classification Scarton, C.; Silva, D.F.; Bontcheva, K.. - : Association for Computational Linguistics (ACL), 2020 BASE Show details 11 Data-driven sentence simplification: Survey and benchmark Alva-Manchego, F.; Scarton, C.; Specia, L.. - : MIT Press, 2020 BASE Show details 12 EASSE: easier automatic sentence simplification evaluation Alva-Manchego, F.; Martin, L.; Scarton, C.. - : Association for Computational Linguistics, 2019 BASE Show details 13 Exploring gap filling as a cheaper alternative to reading comprehension questionnaires when evaluating machine translation for gisting Forcada, M.L.; Scarton, C.; Specia, L.. - : ACL, 2018 BASE Show details 14 Multi-level translation quality prediction with QuEst++ Specia, L.; Paetzold, G.H.; Scarton, C.. - : Association for Computational Linguistics (ACL), 2015 BASE Show details 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 BASE Show details

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