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HULAT group in CEDI 20/21

From September 22 to 24, the Spanish Computer Science Conference (CEDI 20/21), will be held in Malaga. HULAT group will participate in different conferences within CEDI 20/21.
We will participate in the First Workshop on Current Trends in Text Simplification (CTTS-2021) within the Spanish Society for Natural Language Processing (SEPLN 2021) conference; Rodrigo Alarcon will present the work “Exploration of Spanish Word Embeddings for Lexical Simplification steps”. In addition, the work “Designing and Evaluating a User Interface for People with Cognitive Disabilities” will be presented at the International Human-Computer Interaction (Interaction 20/21) conference.

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

In this work, the authors present a twofold framework focused on people with visual disabilities. Firstly, auditory stimuli have been used, and a component of acquisition and extraction of brain signals has been defined. Secondly, analysis techniques for the modeling of emotions have been developed, and machine learning models for the classification of emotions have been defined. Based on the results, the algorithm with the best performance in the validation is random forest (RF), with an accuracy of 85 and 88% in the classification for negative and positive emotions, respectively. According to the results, the framework is able to classify positive and negative emotions, but the experimentation performed also shows that the framework performance depends on the number of features in the dataset and the quality of the Electroencephalogram (EEG) signals is a determining factor.

"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.

Article "Lexical Simplification System to Improve Web Accessibility" published in the journal IEEE Access.

People with intellectual, language and learning disabilities face accessibility barriers when reading texts with complex words. To offer support to these reading aids, a lexical simplification system for Spanish has been developed and is presented in this article. The system covers the complex word identification task and offers replacement candidates with the substitute generation and selection task. These tasks have followed machine learning techniques and contextual embeddings using Easy Reading and Plain Language resources, such as dictionaries and corpora. These findings represent an additional advancement in the lexical simplification of texts in Spanish and in a generic domain using easy-to-read resources. The article is by Rodrigo Alarcon, Lourdes Moreno and Paloma Martínez from the HULAT group in the EASIER project.

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.