The proposed research line focuses on the development of technology based on Artificial Intelligence (AI) and Large Language Models (LLM) from an inclusive and sustainable perspective, seeking to advance how these technologies can be improved along with human-computer interaction (HCI). This line addresses several key aspects, such as:
Research and development of Natural Language Processing (NLP) and Artificial Intelligence (AI) technologies for text simplification, with the goal of making textual content more comprehensible systematically and automatically. Our expertise is particularly highlighted in working with people with cognitive limitations, such as individuals with intellectual disabilities and the elderly, among others. We began our work using more traditional NLP methods, evolving towards the use of transformers and, finally, to Large Language Models (LLMs) that we apply today.
Research and development of technologies supporting the design and development of accessible interfaces (websites, apps, among others), optimizing the user experience (UX). We have extensive experience in accessible technologies, ensuring they can be accessed and used by anyone, including those with disabilities.
Accessibility in technologies for citizens of the public sector currently entails accessibility barriers for people with disabilities. The Public Administration (AAPP) despite having a history of actions in accessibility with its consequent progress, currently does not mostly comply with the accessibility regulations and does not respond to the needs of all citizens with disabilities.
Our research lines reflect the journey from our beginnings, showcasing how the foundations laid in areas such as natural language processing, biomedicine, web development, and accessibility have evolved into the current cutting-edge directions.
This journey demonstrates not only our adaptability and growth but also underpins our present investigations. These research lines, which continue to be relevant, are as follows:
Public administrations are rapidly advancing towards the provision of basic and extended services for the citizen through the Web (EU eGovernment Report 2014). In addition to the decrement of costs, this effort will support all peoples civil right to have access to all public services (including people with disabilities and elderly people). For this reason the EU started diverse initiatives to Meeting new societal needs by using emerging technologies in the public sector in order to foster efficient, open citizen-centric public services.
The recent massive growth in online media and the rise of user-authored content (e.g weblogs, Twitter, Facebook) has lead to challenges of how to access and interpret these strongly multilingual data, in a timely, efficient, and affordable manner. Scientifically, streaming online media pose new challenges, due to their shorter, noisier, and more colloquial nature. Moreover, they form a temporal stream strongly grounded in events and context. Consequently, existing language technologies fall short onaccuracy, scalability and portability. The goal of this project is to deliver.
The main goal of the project is the design and development of a system, which implements a process of automatic generation of subtitles for prerecorded video or audio accompanied by an accurate transcription (screenplay). In this project wants develop a prototype. It will be a tool that will offer support for subtitling of audiovisual content in recorded (movies, documentaries, series, etc ) for different media way such as television, Internet and mobile devices.
The aim of this project is to define and develop information extraction and retrieval techniques based on texts from the medical domain. This will be carried out following two basic tasks: firstly, processing scientific documents in English about pharmacology, and secondly, processing informative texts about health topics in other languages such as Spanish and Arabic.