{"id":18728,"date":"2022-07-01T12:40:16","date_gmt":"2022-07-01T10:40:16","guid":{"rendered":"https:\/\/kairntech.com\/blog\/non-categorise\/resumes-automatiques-de-textes\/"},"modified":"2026-04-17T00:08:14","modified_gmt":"2026-04-16T22:08:14","slug":"resumes-automatiques-de-textes","status":"publish","type":"post","link":"https:\/\/kairntech.com\/fr\/blog\/articles-fr\/resumes-automatiques-de-textes\/","title":{"rendered":"R\u00e9sum\u00e9s automatiques de textes"},"content":{"rendered":"\n
Soyez bref, s’il vous pla\u00eet !<\/h2>\n\n
Dans le contexte actuel d’activit\u00e9 intense, de nombreux utilisateurs souhaitent pouvoir parcourir rapidement de grandes quantit\u00e9s de documents – actualit\u00e9s, sites web, publications, documentation – et d\u00e9cider rapidement si un \u00e9l\u00e9ment donn\u00e9 m\u00e9rite que l’on prenne le temps de le lire ou m\u00eame simplement de cliquer dessus. <\/p>\n\n
Souvent, les cr\u00e9ateurs et les fournisseurs de contenu tentent de faciliter cette d\u00e9cision en choisissant un titre et une phrase d’accroche appropri\u00e9s. <\/p>\n\n
Mais souvent, cela ne suffit pas pour permettre aux gens d’assimiler assez rapidement le contenu qu’ils estiment devoir surveiller.<\/p>\n\n
C’est l\u00e0 qu’intervient le r\u00e9sum\u00e9 automatique et Kairntech offre d\u00e9sormais la possibilit\u00e9 de laisser le logiciel g\u00e9n\u00e9rer un tel r\u00e9sum\u00e9 pour un texte ou un ensemble de textes.<\/p>\n\n
Les cons\u00e9quences du principe \u00ab\u00a0publier ou p\u00e9rir\u00a0\u00bb : Beaucoup d’articles \u00e0 lire<\/strong><\/h2>\n\n
Prenez, par exemple, la t\u00e2che de vous tenir au courant des nouvelles d\u00e9couvertes dans votre domaine d’expertise technique ou scientifique.<\/p>\n\n
Selon le sujet, il peut y avoir des dizaines ou des centaines de publications<\/strong> qui sortent chaque semaine et qui peuvent vous int\u00e9resser. <\/p>\n\n
Heureusement, il existe une pratique bien \u00e9tablie qui consiste \u00e0 accompagner une publication d’un r\u00e9sum\u00e9 permettant d’\u00e9valuer le contenu de l’article et ses principales revendications. <\/p>\n\n
Ce n’est que si le r\u00e9sum\u00e9 semble pertinent que le lecteur acc\u00e8de \u00e0 l’article complet. C’est une bonne chose tant que le lecteur n’a besoin d’\u00e9valuer qu’une poign\u00e9e d’articles. <\/p>\n\n
Mais s’il s’agit d’\u00e9valuer des listes plus longues de dizaines ou de centaines de textes, comme par exemple dans un r\u00e9sultat de recherche ou dans les actes d’une grande conf\u00e9rence, ou si le contenu doit \u00eatre adapt\u00e9 \u00e0 des appareils dot\u00e9s d’\u00e9crans plus petits, comme les smartphones, cela peut devenir lourd <\/strong>et prendre du temps<\/strong>, car m\u00eame un r\u00e9sum\u00e9 peut d\u00e9j\u00e0 \u00eatre compos\u00e9 de 3 \u00e0 4 paragraphes d\u00e9taill\u00e9s.<\/p>\n\n
Kairntech offre donc \u00e0 l’utilisateur l’acc\u00e8s \u00e0 deux types de r\u00e9sum\u00e9s diff\u00e9rents : <\/p>\n\n
Synth\u00e8se extractive<\/li>
R\u00e9sum\u00e9 abstrait<\/li><\/ul>\n\n
Synth\u00e8se extractive<\/h2>\n\n
Le r\u00e9sum\u00e9 extractif est la m\u00e9thode la plus simple et la plus rapide, mais il fournit souvent d\u00e9j\u00e0 le r\u00e9sultat souhait\u00e9 qui permet d’\u00e9valuer la pertinence d’un \u00e9l\u00e9ment de contenu. Les phrases les plus informatives d’un document sont identifi\u00e9es et concat\u00e9n\u00e9es. <\/p>\n\n
L’exemple ci-dessous montre un r\u00e9sum\u00e9 extractif d’un nouvel article sur les \u00e9v\u00e9nements politiques africains. Nous pouvons clairement reconna\u00eetre le sujet principal du texte, cependant, nous noterons souvent que le r\u00e9sultat de la concat\u00e9nation de phrases provenant de diff\u00e9rentes parties d’un document peut ne pas aboutir \u00e0 un nouveau texte coh\u00e9rent. <\/p>\n\n<\/figure>\n\n
Dans l’exemple de r\u00e9sum\u00e9 extractif ci-dessus (en gris), nous voyons par exemple que dans la deuxi\u00e8me phrase, l’expression \u00ab\u00a0le bloc\u00a0\u00bb fait r\u00e9f\u00e9rence \u00e0 une entit\u00e9 (la \u00ab\u00a0Communaut\u00e9 de l’Afrique de l’Est\u00a0\u00bb) qui a \u00e9t\u00e9 introduite dans le texte original, mais cette phrase sp\u00e9cifique est absente du r\u00e9sum\u00e9, de sorte que le lecteur doit se demander \u00e0 quoi \u00ab\u00a0le bloc\u00a0\u00bb fait r\u00e9f\u00e9rence.<\/p>\n\n
<\/p>\n\n
Lors d’un r\u00e9sum\u00e9 abstractif<\/strong>, l’algorithme g\u00e9n\u00e8re un nouveau texte bas\u00e9 sur le sens sous-jacent du document original. <\/p>\n\n
L\u00e0 encore, nous fournissons un exemple de r\u00e9sum\u00e9 pour cette approche, dans lequel un nouveau texte complet, reprenant les id\u00e9es principales de l’original, est propos\u00e9. <\/p>\n\n
R\u00e9sum\u00e9 abstrait<\/h2>\n\n
Le r\u00e9sum\u00e9 abstrait est beaucoup plus exigeant en termes de calcul et peut n\u00e9cessiter une attention particuli\u00e8re lors de l’ajustement des param\u00e8tres. Comme pour d’autres sujets, le logiciel Kairntech donne aux utilisateurs l’acc\u00e8s \u00e0 une vari\u00e9t\u00e9 d’approches puissantes du domaine public. <\/p>\n\n<\/figure>\n\n
Le comportement des deux algorithmes est r\u00e9gi par de nombreux param\u00e8tres – Kairntech s’efforce de les r\u00e9gler sur des valeurs par d\u00e9faut raisonnables, mais il est conseill\u00e9 \u00e0 l’utilisateur de consulter les options et de v\u00e9rifier si le fait de les r\u00e9gler en fonction de ses besoins sp\u00e9cifiques permet d’obtenir des am\u00e9liorations suppl\u00e9mentaires.<\/p>\n\n<\/figure>\n\n
Dans l’exemple ci-dessus, l’utilisateur a choisi d’effectuer le r\u00e9sum\u00e9 abstractif \u00e0 l’aide de la base de donn\u00e9es pr\u00e9entra\u00een\u00e9e et pr\u00e9packag\u00e9e distilbert<\/em> <\/strong>et une longueur minimale de 15 % de la longueur du texte original.<\/p>\n\n
Une plateforme – de nombreux cas d’utilisation<\/strong><\/h2>\n\n
Combin\u00e9 aux autres fonctionnalit\u00e9s cl\u00e9s du logiciel Kairntech – reconnaissance d’entit\u00e9s, cat\u00e9gorisation de documents, indexation bas\u00e9e sur un th\u00e9saurus et autres – le r\u00e9sum\u00e9 est un autre ingr\u00e9dient important d’une vaste plate-forme NLP d’analyse de contenu \u00e0 usage g\u00e9n\u00e9ral. <\/p>\n","protected":false},"excerpt":{"rendered":"
Soyez bref, s’il vous pla\u00eet ! Dans le contexte actuel d’activit\u00e9 intense, de nombreux utilisateurs souhaitent pouvoir parcourir rapidement de grandes quantit\u00e9s de documents – actualit\u00e9s, sites web, publications, documentation – et d\u00e9cider rapidement si un \u00e9l\u00e9ment donn\u00e9 m\u00e9rite que l’on prenne le temps de le lire ou m\u00eame simplement de cliquer dessus. Souvent, les […]<\/p>\n","protected":false},"author":6,"featured_media":18732,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[479],"tags":[],"class_list":["post-18728","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles-fr"],"yoast_head":"\n
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