News

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)

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.

"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

poster healthinf 2021 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

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.

Published Paper "Automatic Learning Framework for Pharmaceutical Record Matching"

This article presents a framework for pharmaceutical record matching based on machine learning techniques in a big data environment. Available in open access here.

2020

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

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

The HULAT group develops an app that allows blind people to enjoy the Christmas lights of the city of Madrid

Pantalla de inicio de la aplicación Navidad Accesible The Madrid City Council has launched a mobile application that allows the visually impaired and other people with sensory limitations to enjoy the traditional Christmas lights. This App has been developed and validated by researchers from the HULAT group of the Computer Science Department of the University Carlos III of Madrid (UC3M).