5 papers · 1 filter
Reinforcement Learning for improving Large Language Models' Catalan text simplification capabilities
Arnau Ayguadé Domingo, Stefan Bott, Horacio Saggion
Although automatic text simplification (ATS) is critical for accessibility, its progress has not matched the rapid evolution of broader natural language processing techniques. This…
SimpCue: Cue-Based Prompting for Multilingual Text Simplification
Mehrzad Tareh, Horacio Saggion, Stefan Bott
Text simplification aims to make complex texts easier to understand while preserving their original meaning. Recent large language models can perform simplification through prompti…
Towards Trustworthy Lexical Simplification: Exploring Safety and Efficiency with Small LLMs
Akio Hayakawa, Stefan Bott, Horacio Saggion
Despite their strong performance, large language models (LLMs) face challenges in real-world application of lexical simplification (LS), particularly in privacy-sensitive and resou…
UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment
Joseph Marvin Imperial, Abdullah Barayan, Regina Stodden +16
We introduce UniversalCEFR, a large-scale multilingual and multidimensional dataset of texts annotated with CEFR (Common European Framework of Reference) levels in 13 languages. To…
Lexical Complexity Prediction and Lexical Simplification for Catalan and Spanish: Resource Creation, Quality Assessment, and Ethical Considerations
Stefan Bott, Horacio Saggion, Nelson Peréz Rojas +2
Automatic lexical simplification is a task to substitute lexical items that may be unfamiliar and difficult to understand with easier and more common words. This paper presents the…