{"id":14,"date":"2020-11-23T17:19:50","date_gmt":"2020-11-23T16:19:50","guid":{"rendered":"http:\/\/www.meerqat.fr\/?page_id=14"},"modified":"2021-02-01T18:50:08","modified_gmt":"2021-02-01T17:50:08","slug":"meerqat-multimedia-question-answering","status":"publish","type":"page","link":"https:\/\/www.meerqat.fr\/","title":{"rendered":"Meerqat &#8211; Multimedia Question Answering"},"content":{"rendered":"\n<p style=\"font-size:20px\">The MultimEdia Entity Representation and Question Answering Tasks (MEERQAT) project is a collaborative project (2020-2024) funded by the <a href=\"https:\/\/anr.fr\/\">French National Research Agency (ANR)<\/a>. <\/p>\n\n\n\n<div class=\"wp-block-media-text alignwide has-media-on-the-right is-stacked-on-mobile is-vertically-aligned-top\" style=\"grid-template-columns:auto 39%\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" width=\"360\" height=\"275\" src=\"http:\/\/www.meerqat.fr\/wp-content\/uploads\/2020\/11\/jugement_paris.png\" alt=\"\" class=\"wp-image-43 size-full\" srcset=\"https:\/\/www.meerqat.fr\/wp-content\/uploads\/2020\/11\/jugement_paris.png 360w, https:\/\/www.meerqat.fr\/wp-content\/uploads\/2020\/11\/jugement_paris-300x229.png 300w\" sizes=\"(max-width: 360px) 100vw, 360px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<p style=\"font-size:20px\">The project proposes to tackle the problem of <strong>analyzing ambiguous visual and textual content<\/strong> by learning and combining their representations and by <strong>taking into account the existing knowledge about entities<\/strong>.<\/p>\n\n\n\n<div id=\"section-gd45fab\" class=\"wp-block-gutentor-e2 section-gd45fab gutentor-element gutentor-element-button\"><span class=\"gutentor-button-wrap\"><a class=\"gutentor-button gutentor-block-button gutentor-icon-hide\" href=\"http:\/\/www.meerqat.fr\/?page_id=24\"><i class=\"gutentor-button-icon fas fa-book\"><\/i><span>See more<\/span><\/a><\/span><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignright size-large is-resized\"><a href=\"https:\/\/anr.fr\/Projet-ANR-19-CE23-0028\"><img loading=\"lazy\" src=\"https:\/\/www.meerqat.fr\/wp-content\/uploads\/2020\/11\/label-anr-bleu-cmjn.png\" alt=\"\" width=\"108\" height=\"111\"\/><\/a><\/figure><\/div>\n\n\n\n<p style=\"font-size:20px\">The consortium is composed of <a href=\"https:\/\/www.meerqat.fr\/?page_id=23\">four teams<\/a>, all having a long and experience in various aspects of computer vision or natural language processing (or both). They have an international recognition in complementary areas that are essential to the success of the project.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The MultimEdia Entity Representation and Question Answering Tasks (MEERQAT) project is a collaborative project (2020-2024) funded by the French National Research Agency (ANR). The consortium is composed of four teams, all having a long and experience in various aspects of computer vision or natural language processing (or both). They have an international recognition in complementary [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"hide_page_title":""},"_links":{"self":[{"href":"https:\/\/www.meerqat.fr\/index.php?rest_route=\/wp\/v2\/pages\/14"}],"collection":[{"href":"https:\/\/www.meerqat.fr\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.meerqat.fr\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.meerqat.fr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.meerqat.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=14"}],"version-history":[{"count":18,"href":"https:\/\/www.meerqat.fr\/index.php?rest_route=\/wp\/v2\/pages\/14\/revisions"}],"predecessor-version":[{"id":112,"href":"https:\/\/www.meerqat.fr\/index.php?rest_route=\/wp\/v2\/pages\/14\/revisions\/112"}],"wp:attachment":[{"href":"https:\/\/www.meerqat.fr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=14"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}