{"id":61592,"date":"2018-03-09T22:49:29","date_gmt":"2018-03-09T22:49:29","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/recuperacion-de-pasajes-multilinga%c2%bces-para-la-busqueda-de-respuestas\/"},"modified":"2018-03-09T22:49:29","modified_gmt":"2018-03-09T22:49:29","slug":"recuperacion-de-pasajes-multilinga%c2%bces-para-la-busqueda-de-respuestas","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/inteligencia-artificial\/recuperacion-de-pasajes-multilinga%c2%bces-para-la-busqueda-de-respuestas\/","title":{"rendered":"Recuperaci\u00f3n de pasajes multilingues para la b\u00fasqueda de respuestas"},"content":{"rendered":"<h2>Tesis doctoral de <strong>  G\u00f3mez Soriano Jos\u00e9 Manuel <\/strong><\/h2>\n<p>Java information retrieval system (jirs) es un sistema de recuperaci\u00f3n de informaci\u00f3n especialmente orientado a tareas de b\u00fasqueda de respuestas. Los tradicionales motores de b\u00fasqueda se basan en las palabras claves de la pregunta para obtener los documentos relevantes a una consulta. Jirs, por el contrario, intenta obtener trozos de texto, es decir pasajes, con mayor probabilidad de contener la respuesta. Para ello realiza una b\u00fasqueda basada en los n-gramas de la pregunta -efectuada en lenguaje natural- usando tres posibles modelos. Los modelos de n-gramas desarrollados son independientes del idioma, lo que hace de jirs un sistema id\u00f3neo para trabajar en ambientes multiling\u00ed\u00bces. por otra parte, jirs incorpora un potente n\u00facleo que permite una adaptaci\u00f3n y escalabilidad sin precedentes en los modernos motores de b\u00fasqueda. Desde sus inicios fue dise\u00f1ado para que fuera una herramienta potente que permitiese adaptarse sin dificultad a muy diferentes funciones. Esto permite ampliar o modificar aspectos de jirs de forma muy f\u00e1cil e intuitiva sin que el usuario final tenga que conocer el c\u00f3digo desarrollado por otros. Adem\u00e1s, permite generar nuevas aplicaciones con una estructura cliente\/servidor, distribuida, etc. \u00fanicamente modificando el archivo de configuraci\u00f3n. este trabajo presenta el estado del arte de la recuperaci\u00f3n de informaci\u00f3n centr\u00e1ndose en la b\u00fasqueda de respuestas multiling\u00ed\u00bce, as\u00ed como una descripci\u00f3n detallada de jirs junto con sus modelos de b\u00fasqueda exponiendo, finalmente, los resultados obtenidos por este sistema en las competiciones del clef.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Recuperaci\u00f3n de pasajes multilingues para la b\u00fasqueda de respuestas<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Recuperaci\u00f3n de pasajes multilingues para la b\u00fasqueda de respuestas <\/li>\n<li><strong>Autor:<\/strong>\u00a0  G\u00f3mez Soriano Jos\u00e9 Manuel <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Valencia<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 28\/11\/2007<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Emilio Sanchis Arnal<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal:  Palomer sanz Manuel javier <\/li>\n<li>Fernando Llopis pascual (vocal)<\/li>\n<li> Ure\u00f1a l\u00f3pez Luis alfonso (vocal)<\/li>\n<li>paolo Rosso . (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de G\u00f3mez Soriano Jos\u00e9 Manuel Java information retrieval system (jirs) es un sistema de recuperaci\u00f3n de informaci\u00f3n especialmente [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[13880,2528,16820],"tags":[17028,67947,136039,136040,86707,40392],"class_list":["post-61592","post","type-post","status-publish","format-standard","hentry","category-informatica","category-inteligencia-artificial","category-politecnica-de-valencia","tag-emilio-sanchis-arnal","tag-fernando-llopis-pascual","tag-gomez-soriano-jose-manuel","tag-palomer-sanz-manuel-javier","tag-paolo-rosso","tag-urena-lopez-luis-alfonso"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/61592","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/comments?post=61592"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/61592\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=61592"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=61592"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=61592"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}