most citedVerifying the Robustness of Automatic Credibility Assessment

4 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2023★ 2 cited

Creating a silver standard for patent simplification

Silvia Casola, Alberto Lavelli, Horacio Saggion

Patents are legal documents that aim at protecting inventions on the one hand and at making technical knowledge circulate on the other. Their complex style -- a mix of legal, techn…

cs.CL2023★ 1 cited

Multilingual Controllable Transformer-Based Lexical Simplification

Kim Cheng Sheang, Horacio Saggion

Text is by far the most ubiquitous source of knowledge and information and should be made easily accessible to as many people as possible; however, texts often contain complex word…

cs.CL2023★ 4 cited

Verifying the Robustness of Automatic Credibility Assessment

Piotr Przybyła, Alexander Shvets, Horacio Saggion

Text classification methods have been widely investigated as a way to detect content of low credibility: fake news, social media bots, propaganda, etc. Quite accurate models (likel…

cs.CL2023

Controllable Lexical Simplification for English

Kim Cheng Sheang, Daniel Ferrés, Horacio Saggion

Fine-tuning Transformer-based approaches have recently shown exciting results on sentence simplification task. However, so far, no research has applied similar approaches to the Le…

cs.CL2023★ 1 cited

Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification

Horacio Saggion, Sanja Štajner, Daniel Ferrés +4

We report findings of the TSAR-2022 shared task on multilingual lexical simplification, organized as part of the Workshop on Text Simplification, Accessibility, and Readability TSA…

cs.CL2022

Lexical Simplification Benchmarks for English, Portuguese, and Spanish

Sanja Stajner, Daniel Ferres, Matthew Shardlow +3

Even in highly-developed countries, as many as 15-30\% of the population can only understand texts written using a basic vocabulary. Their understanding of everyday texts is limite…