Noticias
2021
Entrevista de radio en "Hoy por Hoy" de la SER, explicando el proyecto EASIER,
Entrevista de radio en "Hoy por Hoy" de la SER a Lourdes Moreno del grupo HULAT por el proyecto EASIER, un sistema de simplificación léxica en español para hacer la información accesible a las personas con discapacidad intelectual financiado por INDRA y Fundación Universa. En este proyecto se han utilizado técnicas de accesibilidad y de Procesamiento de Lenguaje Natural.
"An IoT-based contribution to improve mobility of the visually impaired in Smart Cities" paper published in Computing journal (Springer)
In this work, an integrated framework with an IoT architecture customized for an electronic cane (electronic travel aid designed for the visually impaired) has been designed. The architecture is organized by a five-layer architecture: edge technology, gateway, Internet, middleware and application. This new feature brings the ability to connect to environment devices, receiving the coordinates of their geographic locations, alerting the user when it is close to anyone of these devices and sending those coordinates to a web application for smart monitoring. Preliminary studies and experimental tests with three blind users of the Cane show that this approach would contribute to get more spatial information from the environment improving mobility of visually impaired people.
Plataforma EASIER, una ayuda en la comprensión de los textos
EASIER es una plataforma que ayuda a las personas a comprender mejor los textos y funciona apoyándose en métodos de inteligencia artificial. Básicamente proporciona simplificación léxica de los textos en español ofreciendo distintas ayudas a la comprensión.
"Deep-Sync: A novel deep learning-based tool for semantic-aware subtitling synchronisation" paper published in "Neural Computing and Applications" journal
In this paper, we present Deep-Sync, a tool for the alignment of subtitles with the audio-visual content. The architecture integrates a deep language representation model and a real-time voice recognition software to build a semantic-aware alignment tool that successfully aligns most of the subtitles even when there is no direct correspondence between the re-speaker and the audio content. Deep-Sync was compared with other subtitles alignment tool, showing that our proposal is able to improve the synchronisation in all tested cases.“Disambiguating Clinical Abbreviations Using Pretrained Word Embeddings” accepted in HEALTHINF 2021 conference
The paper “Disambiguating Clinical Abbreviations Using Pretrained Word Embeddings” has been accepted in HEALTHINF 2021 conference
Participation of HULAT in SDU@AAAI-21: A Hybrid Approach to Disambiguate Scientific Acronyms
Participation of HULAT in SDU@AAAI-21 shared task for Acronym Disambiguation. The work will be presented inAAAI-21 Workshop on Scientific Document Understanding, February 9 2021