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20182023
most citedToxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis

43 citations · 86 across the 15 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CL2021★ 7 cited

NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese

Sidney Evaldo Leal, Magali Sanches Duran, Carolina Evaristo Scarton +2

This paper presents and makes publicly available the NILC-Metrix, a computational system comprising 200 metrics proposed in studies on discourse, psycholinguistics, cognitive and c…

cs.CL2021

AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models

Harish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton +1

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 multiwo…

cs.SI2021★ 8 cited

Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic

Ye Jiang, Xingyi Song, Carolina Scarton +2

The spreading COVID-19 misinformation over social media already draws the attention of many researchers. According to Google Scholar, about 26000 COVID-19 related misinformation st…

cs.CY2021★ 5 cited

The False COVID-19 Narratives That Keep Being Debunked: A Spatiotemporal Analysis

Iknoor Singh, Kalina Bontcheva, Carolina Scarton

The onset of the COVID-19 pandemic led to a global infodemic that has brought unprecedented challenges for citizens, media, and fact-checkers worldwide. To address this challenge,…

cs.AI2021★ 4 cited

Multistage BiCross encoder for multilingual access to COVID-19 health information

Iknoor Singh, Carolina Scarton, Kalina Bontcheva

The Coronavirus (COVID-19) pandemic has led to a rapidly growing 'infodemic' of health information online. This has motivated the need for accurate semantic search and retrieval of…