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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.; Idiart, M.A.P.; Villavicencio, A.. - : Association for Computational Linguistics (ACL), 2021 Abstract: Accurate assessment of the ability of embedding models to capture idiomaticity may require evaluation at token rather than type level, to account for degrees of idiomaticity and possible ambiguity between literal and idiomatic usages. However, most existing resources with annotation of idiomaticity include ratings only at type level. This paper presents the Noun Compound Type and Token Idiomaticity (NCTTI) dataset, with human annotations for 280 noun compounds in English and 180 in Portuguese at both type and token level. We compiled 8,725 and 5,091 token level annotations for English and Portuguese, respectively, which are strongly correlated with the corresponding scores obtained at type level. The NCTTI dataset is used to explore how vector space models reflect the variability of idiomaticity across sentences. Several experiments using state-of-the-art contextualised models suggest that their representations are not capturing the noun compounds idiomaticity as human annotators. This new multilingual resource also contains suggestions for paraphrases of the noun compounds both at type and token levels, with uses for lexical substitution or disambiguation in context. URL: http://eprints.whiterose.ac.uk/173800/ BASE Hide 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.. - : Association for Computational Linguistics, 2021 BASE Show 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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