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:
Esta línea de investigación se centra en el desarrollo y aplicación de técnicas avanzadas de PLN y algoritmos de aprendizaje profundo para la extracción, análisis y aprovechamiento de información clínica contenida en historias clínicas electrónicas (HCE) no estructuradas.
The ADVICE project consists on the development of a new interface for a craftsmanship tools e-commerce system. With the aim of providing full support to customers of online shops and to the users of electronic services on the Internet during the complete customer service lifecycle. The ADVICE system provides: An advanced multimedia user interface supporting natural language text input and output, as well as an animated assistant, that ensures a high level of user-system interaction.
BRAVO is devoted to research on technologies to improve the answers search in both text and voice, and the main result is a platform for a modular answers search system which allows to measure the improvement of different techniques for questions classification, answer extraction, passages retrieval, etc. SPINDEL is one of the techniques developed in this project, an entity recognizer which, regardless of language, applies machine learning based on bootstrapping.
Database Design discipline involves so different aspects as conceptual and logical modelling knowledge or domain understanding. That implies a great effort to carry out the real world abstraction task and represent it through a data model. CASE tools emerge in order to automating the database development process. These platforms try to help to the database designer in different database design phases.
MAVIR Consortium is a research network co-funded by the Regional Government of Madrid under the IV Plan Regional de Investigación Científica e Innovación Tecnológica (IV PRICIT) integrating a multi-disciplinar team made of scientists, engineers, linguists and documentalists working together on two main areas:Human Language Technologies and Scientific Communication via WWW. The thematic network suggested includes 25 doctors organised in 6 research groups (UNED, UAM, UC3M, UEM, UPM and CINDOC) of the CM that from a multi-discipline perspective complement in various dimensions: academic vs.
Adaptation of APEINTA project so students can use eReader devices (specifically iPads) into the classroom for real-time captioning. Moreover, a feasibility study of new ways of communications based on VoIP between the teacher and APEINTA will be carried out.
The main objective of the project is developing a universal platform for Internet access via wireless public access networks, through which you can easily manage and monitor the provision of such services, with compliance with all universal accessibility standards, allowing access from any user terminal (personal computers, PDAs, smart phones, etc..) being used by any person, irrespective of any disabilities or impairments that may possess, across the adequate terminals.
The main aim of GEMMA Project (acronym of the Spanish translation of "Multiplatform manager for Audiovisual Advertisement Media") is to propose a new model for managing audiovisual advertisement contents over platforms of different nature. These audiovisual contents will be distributed lately to multiplatform devices. Furthermore, accessibility issues will be taking into account from the very beginning of the system (from the design of the audiovisual contents to their publication).
The aim is to research in technology based on automatic language processing for information location and retrieval from medical texts and other resources (reports, electronic medical records, scientific documentation, etc..) specially in Spanish language. Thus, we worked in browsers with different levels of complexity that integrate medical domain-specific resources and terminology (UMLS, SNOMED, etc.) and with different treatment of syntactic and semantic levels.