Noticias

2021

"Framework for the Classification of Emotions in People With Visual Disabilities Through Brain Signals" paper published in Frontiers in Neuroinformatics journal

"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

Logotipo Plataforma EASIER 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.

“Disambiguating Clinical Abbreviations Using Pretrained Word Embeddings” accepted in HEALTHINF 2021 conference

poster healthinf 2021 The paper “Disambiguating Clinical Abbreviations Using Pretrained Word Embeddings” has been accepted in HEALTHINF 2021 conference

"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.

Participation of HULAT in SDU@AAAI-21: A Hybrid Approach to Disambiguate Scientific Acronyms

Approach to disambiguate acronyms Poster 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

Seminario de investigación: "Automatic Text Simplification and Summarization" (18-22 enero 2021)

Horacio Saggion, profesor de la Universidad Pompeu Fabra, será el ponente del seminario "Automatic Text Simplification and Summarization" que se impartirá on line del 18 al 22 de enero de 2021 en el marco del Master de Ciencia y Tecnología de la Universidad Carlos III de Madrid. Se abordarán las tareas de simplificación de textos y generación automática de resúmenes como dos tareas de procesamiento del lenguaje natural, exponiendo métodos, recursos, arquitecturas y evaluación de sistemas.

Publicado el artículo "Automatic Learning Framework for Pharmaceutical Record Matching"

En este artículo se presenta un marco para la comparación de registros farmacéuticos basado en técnicas de aprendizaje automático en un entorno de big data.  Disponible en abierto aquí.

2020

Publicado el artículo "The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study"

Publicado en la revista JMIR Medical Informatics el trabajo "The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study", Vol 8, issue 2

El grupo HULAT desarrolla la app "Navidad Accesible" que permite a las personas ciegas disfrutar de las luces navideñas

Pantalla de inicio de la aplicación Navidad Accesible El Ayuntamiento de Madrid ha puesto en marcha la aplicación móvil "Navidad Accesible" que permite a las personas con discapacidad visual y otras personas con limitaciones sensoriales disfrutar de las tradicionales luces del alumbrado navideño. Esta App ha sida desarrollada y validada por investigadores del grupo HULAT del Departamento de Informática la Universidad Carlos III de Madrid (UC3M).