Paloma Martínez Fernández (Projects)

El objetivo es el desarrollo de un sistema para procesamiento del texto libre de las historias clínicas electrónicas (HCE) del Hospital Universitario Fundación de Alcorcón (HUFA) utilizando técnicas de procesamiento de lenguaje natural y métodos de deep learning. HUFA fue uno de los primeros hospitales de la Comunidad de Madrid en disponer de HCE, desde su apertura a finales de 1997. En la actualidad la Comunidad de Madrid tiene integradas más 5 millones de HCE de las que sólo se procesan los metadatos estructurados. El resto de la información, en formato no estructurado (texto libre), a día de hoy permanece sin ser poder ser explotada por procesos automáticos. El desarrollo de tecnología capaz de procesar y explotar información no estructurada en texto libre de la HCE en el contexto actual de big data, puede tener muchas aplicaciones tanto en la mejora de la práctica clínica (generación automática de resúmenes de episodios relacionados con un paciente, sistemas de ayuda a la decisión clínica para personalizar diagnósticos y tratamiento de enfermedades, alertas de enfermedades infecciosas, mejora de los sistemas de farmacovigilancia, etc.) como en investigación (semi-automatización de los estudios epidemiológicos, por ejemplo en la identificación de los cohortes de pacientes). En concreto, la realización de estudios epidemiológicos implica una ardua labor en la revisión manual de un elevado número de HCE, lo que a su vez conlleva un gran número de recursos humanos y una ingente cantidad de horas de trabajo. Por tanto es crucial promover el desarrollo de técnicas automáticas que permitan obtener información de forma más ágil, convirtiendo la información no estructurada en estructurada y procesable por algoritmos automáticos, y facilitando así la toma de decisiones estratégicas.
El objetivo del proyecto es el desarrollo de técnicas de PLN y método de deep learning para el análisis de la información no estructurada de la HCE, con el fin último del de reducir el coste, en tiempo y recursos, de los estudios epidemiológicos. El proyecto tiene dos centros participantes: (Subproyecto 1) Grupo LABDA de la UC3M que desarrollará el sistema automático para el procesamiento de la HCE y (Subproyeto 2) HUFA cuyo equipo está formado por especialistas de la unidad de Alergología, que serán los encargados de llevar a cabo un estudio epidemiológico a partir de los datos obtenidos de la HCE mediante al uso de PLN y métodos de deep learning. En concreto, el estudio epidemiológico tendrán como principal objetivo estudiar la prevalencia de la anafilaxia en la población definida como caso de uso de aplicación. Varios profesionales del servicio de informática de HUFA serán los encargados de anonimizar las HCE para garantizar la protección de datos de los pacientes.
Aunque el sistema será desarrollado sobre la HCE del HUFA, la tecnología que se pretende desarrollar en el proyecto solicitado, podría ser aplicada directamente a la HCE de cualquier otro hospital. Además, su adaptación al estudio epidemiológico de otras patologías distintas a la anafilaxia (cáncer de mama, ictus, etc) es relativamente sencilla ya que los enfoques (deep learning) que se quieren abordar durante el proyecto son independientes del problema a tratar.

• Reference: TIN2017-87548-C2-1-R
• Financing:
• Project type: Público
• State: Activo
• Principal investigator: Paloma Martínez Fernández, Isabel Segura Bedmar
• Other investigator: Jose Luis Lopez-Cuadrado, Israel González Carrasco, José Luis Martínez Fernández, Lourdes Moreno, Belén Ruiz-Mezcua, Cristóbal Colón Ruiz, Rodrigo Alarcón
• Duration: 2018 - 2020

El proyecto EASIER, del Grupo Human Language and Accessibility Technologies (HULAT), del departamento de Informática de la Universidad Carlos III de Madrid (UC3M) tiene como objetivo desarrollar una solución que mejore la accesibilidad a la información digital favoreciendo el acceso a las personas con discapacidad intelectual.

Las tecnologías de la información y la comunicación (TIC) en la sociedad de la información presentan barreras de accesibilidad, que afectan en mayor grado a las personas que tienen algún tipo de discapacidad. Son más conocidas las necesidades de las personas con discapacidad de tipo sensorial y física, pasando por alto las barreras cognitivas causadas por la difícil comprensión de los textos que afectan principalmente a las personas con discapacidad intelectual y personas mayores.

Con esta motivación se quiere proporcionar, por un lado, tecnología que dé soporte a los procesos de simplificación automática de contenido textual en español para mejorar la facilidad de lectura y, por otro lado, tecnología que genere interfaces de usuario accesibles que incluyan este contenido textual simplificado a los usuarios.

Para la simplificación léxica del contenido textual en español se tendrán en cuenta las pautas de accesibilidad (WCAG) relativas al lenguaje siguiendo legislación en España, así como las pautas de Lectura Fácil (UNE 153101: Lectura fácil. Pautas y recomendaciones para la elaboración de documentos) y Pautas de Lenguaje Llano (Plain Language). Como espacio de solución, se van a utilizar métodos de disciplinas que puedan dar soporte al cumplimiento sistemático de estos requisitos de accesibilidad cognitiva, tal es el caso de la disciplina de Procesamiento del Lenguaje Natural (PLN) y la Inteligencia Artificial.

• Reference:
• Financing: FUNDACION UNIVERSIA, INDRA
• Project type: Público
• State: Activo
• Principal investigator: Lourdes Moreno
• Other investigator: Rodrigo Alarcón, Paloma Martínez Fernández, Isabel Segura Bedmar
• Duration: 2019 - 2020
• Sitio web Más fácil - EASIER

Public administrations are rapidly advancing towards the provision of basic and extended services for the citizen through the Web (EU eGovernment Report 2014). In addition to the decrement of costs, this effort will support all people’s civil right to have access to all public services (including people with disabilities and elderly people). For this reason the EU started diverse initiatives to “Meeting new societal needs by using emerging technologies in the public sector” in order to “foster efficient, open citizen-centric public services”. Efforts have been made for enhancing the usability and accessibility of public administrations’ websites but several studies revealed that this is not sufficient to support acceptable eGovernment applications. Other factors such as content/information quality and security are also required. Our overall objective is to produce a model-based software architecture for methodologically developing personalized inclusive public eServices that allow any user to interact with them in a satisfactory way, no matter the device used. This requires integrating appropriate user profiling and adaptation techniques into the model to tailor eServices to users’ characteristics, available technology, and service’s functionality. Hence, this project has a multidisciplinary nature and will be addressed through collaboration between researchers and experts in information technology and professionals of the eGovernment, combining diverse scientific backgrounds: • Modelling eGovernment services • Data mining to search for user patterns to feed user models • Human-computer interaction for user tailored interfaces, including universal accessibility and multidevice access • Natural language processing for accessible user interfaces • Model based software architectures for the methodological development of eGovernment applications. It is structured into two subprojects: Subproject 1, leaded by the EHU, will exploit real user interaction data from the eServices provided by Provincial Council of Gipuzkoa (PCG) to extract common usage patterns, anomalous usage of services, and accessibility barriers. Models of eServices will be built with the inclusion in the workgroup of experts on eGovernment (from the Quality Institute Netherlander Municipalities, the Service for Modernization of the PCG, and IZFE, a developer of applications for eAdministration). Starting from these models, user adaptive Web access will be provided by means of presentation, content and navigation adaptations. Subproject 2, leaded by UC3M, will create a software architecture for model-based development of eGovernment applications that includes support for accessibility and multidevice use (assisted by experts from the University of Lisbon). The definition of a model-based software architecture will be done in collaboration with the LoUISE research team from UCLM, which is currently developing a framework that can be extended to fit our needs. The results of the complete project will include models of: users of eGovernment applications; e-Services; and web adaptations required to ensure universal and multidevice accessibility. All of them will be integrated by the model-based architecture that will allow the creation of tools to develop fully accessible high quality eGovernment applications. In this way the project will contribute to increase citizens’ participation, to produce savings for governments and businesses, and to reduce administrative burden.

• Reference: TIN2014-52665-C2-2-R
• Financing: Ministerio de Economía y Competitividad
• Project type: Público
• State: Activo
• Principal investigator: Paloma Martínez Fernández
• Other investigator: Paloma Martínez Fernández, Lourdes Moreno, Isabel Segura Bedmar, José Luis Martínez Fernández, Belén Ruiz-Mezcua, Victor Suarez Paniagua, Israel González Carrasco, Jose Luis Lopez-Cuadrado
• Duration: 2015 - 2017
• https://egovernability.wordpress.com

The recent massive growth in online media and the rise of user-authored content (e.g weblogs, Twitter, Facebook) has lead to challenges of how to access and interpret these strongly multilingual data, in a timely, efficient, and affordable manner. Scientifically, streaming online media pose new challenges, due to their shorter, noisier, and more colloquial nature. Moreover, they form a temporal stream strongly grounded in events and context. Consequently, existing language technologies fall short onaccuracy, scalability and portability. The goal of this project is to deliver. innovative, portable open-source real-time methods for cross-lingual mining and summarisation of large-scale stream media. TrendMiner will achieve this through an inter-disciplinary approach, combining deep linguistic methods from text processing, knowledge-based reasoning from web science, machine learning, economics, and political science. No expensive human annotated data will be required due to our use of time-series data (e.g. financial markets, political polls) as a proxy. A key novelty will be weakly supervised machine learning algorithms for automatic discovery of new trends and correlations. Scalability and affordability will be addressed through a cloud-based infrastructure for real-time text mining from stream media. Results will be validated in two high-profile case studies: financial decision support (with analysts, traders, regulators, and economists) and political analysis and monitoring (with politicians, economists, and political journalists). The techniques will be generic with many business applications: business intelligence, customer relations management, community support. The project will also benefit society and ordinary citizens by enabling enhanced access to government data archives, summarisation of online health information, and tracking of hot societal issues.

• Reference: FP7-ICT 287863
• Financing: European Commission
• Project type: Público
• State: Activo
• Principal investigator: Paloma Martínez Fernández
• Other investigator: Paloma Martínez Fernández, Lourdes Moreno, Isabel Segura Bedmar, Julián Moreno Schneider, María González García, María Herrero Zazo, Ricardo Revert Arenaz
• Duration: 2013 - 2014
• https://cordis.europa.eu/project/id/287863

MAVIR is a research network co-funded by the Regional Government of Madrid and the European Social Fund under MA2VICMR (2010-2013) and MAVIR (2006-2009) programs. The core of the consortium consists seven research groups from universities and organisations from the Region of Madrid, namely: namely: •Laboratorio de Cibermetría (CybermetricsLab-CSIC) •Human Language Technologies & Information Retrieval (HLT&IR-UAM) •Laboratorio de Bases de Datos Avanzadas (LABDA-UC3M) •Grupo de Sistemas Inteligentes (GSI-UEM) •Natural Language Processing and Information Retrieval Group (NLP&IR-UNED) •Tecnologías de Audio, Habla y Lenguaje Natural en Sistemas Inteligentes (THALES-UPM) •Grupo de Algorítmica aplicada a la Visión Artificial y la Biometría (GAVAB-URJC)

• Reference: S2009/TIC-1542
• Financing:
• Project type: Público
• State: Activo
• Principal investigator: Paloma Martínez Fernández
• Other investigator: Paloma Martínez Fernández, María González García, María Herrero Zazo
• Duration: 2010 - 2013
• http://www.mavir.net

The aim of this project is to define and develop information extraction and retrieval techniques based on texts from the medical domain. This will be carried out following two basic tasks: firstly, processing scientific documents in English about pharmacology, and secondly, processing informative texts about health topics in other languages such as Spanish and Arabic. These information extraction techniques include domain entities recognition, pattern recognition, machine learning for extracting semantic relations, and the integration of lexical resources which are specific within the public health system (UMLS, SNOMED and so on) in order to improve applications. On the other hand, the information extracted from the processing task must be used to enrich the information retrieval tools. Thus, three prototypes of searching information will be created in order to show the feasibility of the proposed techniques. The first of them is an application oriented to pharmacists to extract knowledge about drug-drug interactions from scientific publications. The second prototype will be a tool focused on general public or patients to search information about illnesses and medicines. The third one will use the terminology extracted from the Spanish-Arabic parallel corpus to aid terminology teaching in the biomedical domain.

• Reference: TIN2010-20644-C03-01
• Financing: Plan Nacional de I+D, Ministerio de Ciencia e Innovación
• Project type: Público
• State: Activo
• Principal investigator: Paloma Martínez Fernández
• Other investigator: Paloma Martínez Fernández, Lourdes Moreno, Elena Castro Galán, Ana M. Iglesias Maqueda, Isabel Segura Bedmar, María Teresa Vicente-Díez, José Luis Martínez Fernández, Julián Moreno Schneider, Daniel Sánchez Cisneros, María Herrero Zazo
• Duration: 2011 - 2013
• http://labda.inf.uc3m.es/multimedica/

• Reference: CEN-20091026
• Financing: DAEDALUS S.A dentro del SUBPROGRAMA DE APOYO A CONSORCIOS ESTRATÉGICOS NACIONALES DE INVESTIGACIÓN TÉCNICA (CENIT-E), CEN-20091026
• Project type: Público
• State: Activo
• Principal investigator: Paloma Martínez Fernández
• Other investigator: Paloma Martínez Fernández, Dolores Cuadra Fernández, Lourdes Moreno, Elena Castro Galán, Ana M. Iglesias Maqueda, Francisco Javier Calle Gómez, Harith Al-Jumaily, César De Pablo Sánchez, Isabel Segura Bedmar, María Teresa Vicente-Díez, David del Valle Agudo, José Luis Martínez Fernández, Jesica Rivero Espinosa, Daniel Sánchez Cisneros, María González García, María Herrero Zazo
• Duration: 2009 - 2012
• http://www.cenitbuscamedia.es

The main goal of the project is the design and development of a system, which implements a process of automatic generation of subtitles for prerecorded video or audio accompanied by an accurate transcription (screenplay). In this project wants develop a prototype. It will be a tool that will offer support for subtitling of audiovisual content in recorded (movies, documentaries, series, etc…) for different media way such as television, Internet and mobile devices. In this context, the process is called recorded subtitling (off-line or canned) because is not processed in real time; it is treated previously without anytime limits. This automatic support provide a synchronization process of the screenplay with audio by adding time stamps, analyze of errors resulted in the process, and the text subtitles segmentation conform to current standards.

• Reference: Proyecto Avanza - TSI-020100-2010-184
• Financing: Ministerio de Industria, Turismo y Comercio (proyecto AVANZA)
• Project type: Público
• State: Activo
• Principal investigator: Lourdes Moreno
• Other investigator: Paloma Martínez Fernández, Lourdes Moreno, Ana M. Iglesias Maqueda, José Luis Martínez Fernández, Belén Ruiz-Mezcua, María González García
• Duration: 2010 - 2011
• http://labda.inf.uc3m.es/sagas

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).

• Reference: Proyecto AVANZA - TSI-020302-2010-14
• Financing: Ministerio de Industria, Turismo y Comercio (proyecto AVANZA)
• Project type: Público
• State: Activo
• Principal investigator: Ana M. Iglesias Maqueda
• Other investigator: Paloma Martínez Fernández, Lourdes Moreno, Ana M. Iglesias Maqueda, Belén Ruiz-Mezcua, Francisco Utray, Mercedes de Castro Álvarez
• Duration: 2010 - 2011

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.

• Reference: TSI-020302-2008-55
• Financing: Acción Estratégica de Telecomunicaciones y Sociedad de la Información. AVANZA I+D
• Project type: Público
• State: Activo
• Principal investigator: Paloma Martínez Fernández
• Other investigator: Paloma Martínez Fernández, Lourdes Moreno, Ana M. Iglesias Maqueda
• Duration: 2008 - 2010
• http://www.eng.conectate.es/IDI/DISUIPA/

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.

• Reference: EA2008-0312
• Financing: Ministerio de Educación y Ciencia (Proyectos de I+D 2007). Ministerio de Ciencia e Innovación. Convocatoria del Programa de Estudios y Análisis. Acciones Destinadas a la Mejora de la Calidad de la Enseñanza
• Project type: Público
• State: Terminado
• Principal investigator: Ana M. Iglesias Maqueda
• Other investigator: Paloma Martínez Fernández, Lourdes Moreno, Ana M. Iglesias Maqueda, Belén Ruiz-Mezcua, Pablo Revuelta, Javier Jiménez
• Duration: 2008 - 2009
• http://apeinta.cesya.es

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. In the framework of BRAVO project, one of the current research areas is related to the location of drug names and interactions between them in the medical literature using UMLS, dictionaries and USAN rules of naming drugs. As a result, it is available automatically annotated corpus using the DrugNer system (developed by the Advances Databases Group) with generic drug names and other biomedical concepts and manually evaluated by a pharmacological expert. The system combines information obtained by the UMLS MetaMap Transfer (MMTx) program and nomenclature rules recommended by the World Health Organization (WHO) International Nonproprietary Names (INNs) Program to identify and classify pharmaceutical substances

• Reference: TIN2007-67407-C03-01
• Financing:
• Project type: Público
• State: Activo
• Principal investigator: Paloma Martínez Fernández
• Other investigator: Lourdes Moreno, Elena Castro Galán, Ana M. Iglesias Maqueda, César De Pablo Sánchez, Isabel Segura Bedmar, María Teresa Vicente-Díez, José Luis Martínez Fernández, Belén Ruiz-Mezcua, Julián Moreno Schneider, Mario Crespo
• Duration: 2007 - 2010

APEINTA is an educational project that aims for inclusive education for every student of all abilities in and out of the classroom. We propose to use new computer science and electronic technologies in order to avoid learning barriers that we can unfortunately find already in the educational environment. The APEINTA project is focused in two main inclusive proposals: One Inside the classroom and the other one Outside the classroom. 1.The Inside the classroom proposal is to use two mechanisms in order to eliminate students’ communication barriers. First, the use of Automatic Speech Recognition (ASR) provides automatic real-time transcription. And second, a text to speech system (TTS) makes easier the communication with the teacher and other students for people with speech problems. 2.The Outside the classroom proposal provides an accessible Web learning platform with digital resources, so every student can access them in and out of the classroom. The project and its evaluation have being carried out at the Carlos III University of Madrid, in 3rd course of Computer Science degree. Good results and a high satisfaction level have been obtained. Moreover, new research and work lines have born from this project. Computer Science Department and Telecommunication department at Universidad Carlos III of Madrid and the Spanish Center of Captioning and Audiodescription (CESyA) are collaborating in the APEINTA Project. This project received in 2009 the FIAPAS (Spanish Confederation of Parents and Friends of Deaf People) award for research and innovation in education area related to hearing disability.

• Reference: EA2008-0312
• Financing: Ministerio de Educación y Ciencia (Proyectos de I+D 2007). Ministerio de Ciencia e Innovación. Convocatoria del Programa de Estudios y Análisis. Acciones Destinadas a la Mejora de la Calidad de la Enseñanza
• Project type: Público
• State: Terminado
• Principal investigator: Ana M. Iglesias Maqueda
• Other investigator: Paloma Martínez Fernández, Lourdes Moreno, Ana M. Iglesias Maqueda, Belén Ruiz-Mezcua, Pablo Revuelta, Javier Jiménez
• Duration: 2008 - 2009
• http://apeinta.cesya.es

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. professional, research vs. services, resources’ generation vs. applications. Furthermore, there are 6 other national and international groups of research associated to the project as well as, among others, the following contributor organizations: RAE, Instituto Cervantes, Fuenlabrada Hospital, EFE Agency and DAEDALUS.

• Reference: S-505/TIC/0267
• Financing: IV Plan Regional de Investigación Científica e Innovación Tecnológica (IV PRICIT), Comunidad de Madrid
• Project type: Público
• State: Terminado
• Principal investigator: Paloma Martínez Fernández
• Other investigator: Paloma Martínez Fernández, Dolores Cuadra Fernández, Lourdes Moreno, Elena Castro Galán, Ana M. Iglesias Maqueda, Francisco Javier Calle Gómez, Harith Al-Jumaily, César De Pablo Sánchez, Isabel Segura Bedmar, María Teresa Vicente-Díez, David del Valle Agudo, Jesica Rivero Espinosa, Doaa Samy, Mario Crespo, Daniel Sánchez Cisneros, María Herrero Zazo
• Duration: 2006 - 2009
• http://www.mavir.net

The main project purpose is the design and development of a set of software tools to support Software Engineering Best Practices, defined by international standardization organizations such as ISO, SEI and PMI. These tools will allow the definition of software processes and will assist in the software project management based on Best Practices Models. In order to get the project effectively, it is necessary to develop formal specifications language to represent processes and also an advanced system to store, classify and retrieve assets and artifacts, as work products, project planning, requirement documents, metrics, risks, etc.

• Reference: TIN2004-07083
• Financing: MINISTERIO DE EDUCACION Y CIENCIA, DIR. GRAL. INVESTIGACION
• Project type: Público
• State: Activo
• Principal investigator: Paloma Martínez Fernández
• Other investigator: Paloma Martínez Fernández, Dolores Cuadra Fernández, Lourdes Moreno, Elena Castro Galán, Ana M. Iglesias Maqueda, Francisco Javier Calle Gómez, Harith Al-Jumaily, César De Pablo Sánchez
• Duration: 2004 - 2008

This project is related to the strategic action line of ‘Tourism related technologies’ with the aim of improving the existing signaling systems for tourists (of any language) and develop accessible systems in tourist accommodation to help overcome some disabilities (motor, audible, and visual). The consortium created for this project joins together experienced companies in the IT (TMT Factory, Signaletics) and academic research groups (La Salle, UPM, UC3M). SOPAT aims to characterize, develop and validate a new universal signaling system based on the complementary use of: (1) radio-electrical positioning signals emitted by the user (willingly or automatically by some device); and (2) keep natural interactions with the user in order to provide customized services and information. At the technological level, two configurations are raised based on respective communication channels, such as (a) a portable device (PDA), and (b) a fixed-position interface (SmartPoint). The applied positioning technology is the identification by radio frequency (RFID and ZigBee). The interaction subsystem counts on advanced UI elements (recognition and synthesis of speech, and natural language processing) and Natural Interaction models. Our group is involved in this project to provide Natural Interaction mechanisms, supported by a multi-agent platform (Ecosystem) and knowledge models cooperating on it. Among others, in this project can be highlighted the Situation Model (aimed to the management of the circumstances, and supported by spatio-temporal DB) and the Dialogue Model (for controlling and endow coherence to interaction; based on the Threads Model).

• Reference: CIT-410000-2007-12
• Financing: Ministerio de Industria, Comercio y Turismo
• Project type: Público
• State: Terminado
• Principal investigator: Francisco Javier Calle Gómez
• Other investigator: Paloma Martínez Fernández, Dolores Cuadra Fernández, Elena Castro Galán, Ana M. Iglesias Maqueda, Francisco Javier Calle Gómez, David del Valle Agudo, Jesica Rivero Espinosa
• Duration: 2007 - 2008
• http://www.tmtfactory.com/proyecto_SOPAT.asp

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.

• Reference: FIT-350300-2007-75
• Financing: Ministerio de Industria, Comercio y Turismo
• Project type: Público
• State: Terminado
• Principal investigator: Paloma Martínez Fernández
• Other investigator: Paloma Martínez Fernández, Dolores Cuadra Fernández, Elena Castro Galán, Ana M. Iglesias Maqueda, Harith Al-Jumaily, César De Pablo Sánchez, Isabel Segura Bedmar, María Teresa Vicente-Díez, José Luis Martínez Fernández
• Duration: 2007 - 2008

IntegraTV-4all is an effort towards a new television for all and to promote the access of people with disabilities to the new technologies, with a development adapted and oriented to their possibilities and necessities, which includes both graphical and natural-language interfaces. The consortium is formed by industrial and academic partners(TMT Factory, Ramón Llull University, Technical University of Madrid and Carlos III University). IntegraTV-4all wants to extend interactive television in new directions through the development and integration into the IntegraTV of a new module that contributes to facilitate the personal autonomy and the social integration of groups such as, primarily, people with some sensorial impairment (blindness, visual deficiencies, deafness, impaired hearing ability, limitations of speech). Potentially, nevertheless, the results of the project are also useful for people with some physical or psychic impairment as well as for the elderly. Initially in the project, a basic service of interactive television was implemented, which lets users navigate through the menus using their voice. This service is in operation as a prototype so that users are able to take advantage of all the services of IntegraTV-4all and to navigate through the system without the need of visual references, given that all the options on the screen and all the texts are presented by voice. In a later phase, adapted content (created for users with disabilities) and conversational capabilities (within a limited domain) are added to the system.

• Reference: FIT-350301-2004-2
• Financing: MINISTERIO INDUSTRIA, TURISMO Y COMERCIO DIR. GRAL. DESARROLLO SOC. INFORMACION
• Project type: Público
• State: Terminado
• Principal investigator: Paloma Martínez Fernández
• Other investigator: Paloma Martínez Fernández, Dolores Cuadra Fernández, Ana M. Iglesias Maqueda, Francisco Javier Calle Gómez, David del Valle Agudo
• Duration: 2005 - 2006
• http://research.tmtfactory.com/index.php/tmtresearch/projects/12/

The main purpose of MIRACLE project has been to develop an Information Retrieval system that integrates several techniques and available resources (proceeding from the statistical field as well as from the linguistic technology area) in order to enhance the quality of retrieval in the scope of multilingual information retrieval. This system has been carried out togheter with the Technical University of Madrid and has been succesfuly validated in the CLEF forum (Cross Language Evaluation Forum) in 2003 and 2004 editions. Particularly, MIRACLE systems has taken part in multilingual, bilingual and monolingual tasks as well as in Image retrieval. Moreover, in 2004 edition we have also taken part in question answering task.

• Reference: 07T/0055/2003 2
• Financing: Comunidad de Madrid
• Project type: Público
• State: Terminado
• Principal investigator: Paloma Martínez Fernández
• Other investigator: Paloma Martínez Fernández, César De Pablo Sánchez, José Luis Martínez Fernández
• Duration: 2003 - 2004

The aim of the OmniPaper project is to offer a personalized and standarized interface to the articles of European newspapers. In order to improve this access, the browsing through a multilingual taxonomy of subjects is combined with full-text searching and other techniques which involve metadata handling.

• Reference: Subcontratación en proyecto IST-2001-32174
• Financing: Universidad Politécnica de Madrid
• Project type: Público
• State: Terminado
• Principal investigator: Paloma Martínez Fernández
• Other investigator: Paloma Martínez Fernández
• Duration: 2002 - 2004

The objective is to develop a virtual personal insurance and finance assistant with new means of interaction. This personal assistant will be specialized in risk management counselling for small and medium enterprises. The virtual advisor shows up and behaves almost like a "real" serious insurance consultant. The virtual assistant is reactive and easy to use through the use of natural language processing and speech recognition technologies.

• Reference: Subcontratacion en proyecto IST-2001-32440
• Financing: Universidad Politécnica de Madrid
• Project type: Público
• State: Terminado
• Principal investigator: Paloma Martínez Fernández
• Other investigator: Paloma Martínez Fernández, Francisco Javier Calle Gómez
• Duration: 2002 - 2003

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. A software environment for building intelligent sales assistants for two types of selling and marketing services: sales-service and after sales service. The virtual assistant supported by this application will be capable of interacting with the user in natural language, adapt its recommendations to the requirements and characteristics of the customers and provide explanations of the advised products as well as of the different interesting alternatives.

• Reference: Subcontratacion en proyecto IST-1999-11305
• Financing: Universidad Politécnica de Madrid
• Project type: Público
• State: Terminado
• Principal investigator: Paloma Martínez Fernández
• Other investigator: Paloma Martínez Fernández, Francisco Javier Calle Gómez
• Duration: 2001 - 2002

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. Nevertheless, this tools are frequently mere diagrammers and do not carry completely out the design methodology that they are supposed to support; furthermore, they do not offer intelligent methodological advice to novice designers. A software tool has been developed which tries to mitigate some of the deficiencies observed in several CASE tools, defining methods and techniques for database development which are useful for students and practitioners

• Reference: TIC99-0215
• Financing: C.I.C.Y.T. SECRETARIA GRAL. DEL PLAN NACIONAL DE I+D
• Project type: Público
• State: Terminado
• Principal investigator: Antonio de Amescua
• Other investigator: Paloma Martínez Fernández, Dolores Cuadra Fernández, Elena Castro Galán, Ana M. Iglesias Maqueda, Antonio de Amescua
• Duration: 1999 - 2001