Co-Occurrence Graphs for Multilingual Word Sense

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Icono objeto Co-Occurrence Graphs for Multilingual Word Sense.
Doctorado, Sistemas Inteligentes, informática and Serie: Programa de Doctorado de Sistemas Inteligentes 2014-2015
(02-06-2015) Andrés Duque Fernández | | CanalUNED



Título: Co-Occurrence Graphs for Multilingual Word Sense
Título alternativo / Serie: Doctorado, Sistemas Inteligentes, informática
Serie: Programa de Doctorado de Sistemas Inteligentes 2014-2015
Resumen / Descripción: Advisors: Dra. L. Araujo, Dr J. Martínez Romo Cross-Lingual Word Sense Disambiguation (CLWSD) aims to determine the most suitable translation for a given word from a source language to a target one. This is a particular case of the Word Sense Disambiguation (WSD) problem. CLWSD tries to deal with some of the difficulties of WSD, such as the scarcity of sense inventories and sense tagged corpora, by taking advantage of the shared meaning between parallel texts. We are performing an extensive evaluation of different aspects of an unsupervised graph-based CLWSD system such as the selection of the bilingual dictionary, the study of different algorithms for disambiguation or the parameters involved in the graph construction. Two experimental frameworks (SemEval 2010, task 3 and SemEval 2013, task 10) are being used for evaluation in different languages, obtaining very interesting and competitive results. Another goal of this thesis consists in the application of the developed techniques to the biomedical domain. In this scope, we are working in the analysis of different medical corpora (both monolingual and multilingual), in order to determine evaluation frameworks for different tasks based on the disambiguation of words. One of the first tasks that are being addressed is the use of cross-lingual information for performing disambiguation of acronyms in this domain. Other application considered is to use those disambiguation techniques for improving the extraction of relations between rare diseases and disabilities, and between drugs and adverse drug reactions (ADRs).
Género: Actos - Jornada
Área temática: Matemáticas
Ciencias Experimentales
Ciencia de los ordenadores
Inteligencia artificial
Informática
Ciencias Tecnológicas
E. Técnicos e Ingeniería
Tecnología de los ordenadores
Raiz UNESCO: Matemáticas
Ciencias Tecnológicas
Area de Conocimiento: Ciencias Experimentales
E. Técnicos e Ingeniería
Duración de la grabación: 00:39:08
Autor(es): Andrés Duque Fernández
Fecha: 2015-06-02
Idioma: Español
Licencia: https://descargas.uned.es/publico/pdf/Aviso_Legal_UNED.pdf

Document type: Video_AVIP Document
Collection: Coleccion Multimedia
 
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Created: Sun, 27 Oct 2024, 16:09:57 CET