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    <abstract>This paper presents the ongoing work conducted within the ClearText project, specifically focusing on the resource creation for the simplification of Spanish for people with cognitive disabilities. These resources include the CLEARSIM corpus and the Simple.Text tool. On the one hand, a description of the corpus compilation process with the help of APSA is detailed along with information regarding whether these texts are bronze, silver or gold standard simplification versions from the original text. The goal to reach is 18,000 texts in total by the end of the project. On the other hand, we aim to explore Large Language Models (LLMs) in a sequence-to-sequence setup for text simplification at the document level. Therefore, the tool’s objectives, technical aspects, and the preliminary results derived from early experimentation are also presented. The initial results are subject to improvement, given that experimentation is in a very preliminary stage. Despite showcasing flaws inherent to generative models (e.g. hallucinations, repetitive text), we examine the resolutions (or lack thereof) of complex linguistic phenomena that can be learned from the corpus. These issues will be addressed throughout the remainder of this project. The expected positive results from this project that will impact society are three-fold in nature: scientific-technical, social, and economic.</abstract>
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%0 Conference Proceedings
%T Automatic Text Simplification for People with Cognitive Disabilities: Resource Creation within the ClearText Project
%A Espinosa-Zaragoza, Isabel
%A Abreu-Salas, José
%A Moreda, Paloma
%A Palomar, Manuel
%Y Štajner, Sanja
%Y Saggio, Horacio
%Y Shardlow, Matthew
%Y Alva-Manchego, Fernando
%S Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability
%D 2023
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F espinosa-zaragoza-etal-2023-automatic
%X This paper presents the ongoing work conducted within the ClearText project, specifically focusing on the resource creation for the simplification of Spanish for people with cognitive disabilities. These resources include the CLEARSIM corpus and the Simple.Text tool. On the one hand, a description of the corpus compilation process with the help of APSA is detailed along with information regarding whether these texts are bronze, silver or gold standard simplification versions from the original text. The goal to reach is 18,000 texts in total by the end of the project. On the other hand, we aim to explore Large Language Models (LLMs) in a sequence-to-sequence setup for text simplification at the document level. Therefore, the tool’s objectives, technical aspects, and the preliminary results derived from early experimentation are also presented. The initial results are subject to improvement, given that experimentation is in a very preliminary stage. Despite showcasing flaws inherent to generative models (e.g. hallucinations, repetitive text), we examine the resolutions (or lack thereof) of complex linguistic phenomena that can be learned from the corpus. These issues will be addressed throughout the remainder of this project. The expected positive results from this project that will impact society are three-fold in nature: scientific-technical, social, and economic.
%U https://aclanthology.org/2023.tsar-1.7
%P 68-77

Markdown (Informal)

[Automatic Text Simplification for People with Cognitive Disabilities: Resource Creation within the ClearText Project](https://aclanthology.org/2023.tsar-1.7) (Espinosa-Zaragoza et al., TSAR-WS 2023)

• Automatic Text Simplification for People with Cognitive Disabilities: Resource Creation within the ClearText Project (Espinosa-Zaragoza et al., TSAR-WS 2023)

ACL

• Isabel Espinosa-Zaragoza, José Abreu-Salas, Paloma Moreda, and Manuel Palomar. 2023. Automatic Text Simplification for People with Cognitive Disabilities: Resource Creation within the ClearText Project. In Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability, pages 68–77, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.