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Toward File Consolidation by Document Categorization

机译:通过文档分类来融合文件

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An efficient adaptive document classification and categorization approach is proposed for personal file creation corresponding to user’s specific needs and profile. This kind of approach is needed because the search engines are often too general to offer a precise answer to the user request. As we cannot act directly on the search engines methodology, we propose to rather act on the documents retrieved by classifying and ranking them properly. A classifier combination approach is considered. These classifiers are chosen very complementary in order to treat all the query aspects and to present to the user at the end a readable and comprehensible result. The application performed corresponds to the law articles stemmed from the European Union data base. The law texts are always entangled with cross-references and accompanied by some updating files (for application dates, for new terms and formulations). Our approach found here a real application offering to the specialist (jurist, lawyer, etc. ) a synthetic vision of the law related to the topic requested.
机译:提出了一种有效的自适应文档分类和分类方法,用于对应于用户的特定需求和配置文件的个人文件创建。需要这种方法,因为搜索引擎通常太一般,无法为用户请求提供精确的答案。由于我们不能直接在搜索引擎方法上行动,我们建议宁愿采取通过分类和排名所检测的文档。考虑分类器组合方法。这些分类器被选中非常互补,以便在最终的识别和可理解的结果中处理所有查询方面并向用户展示。所执行的申请对应于来自欧盟数据库的法律文章。法律文本始终纠结交叉引用并伴随着一些更新文件(用于申请日期,用于新条款和制定)。我们的方法在这里发现了一个真正的应用程序提供给专家(法学家,律师等)的综合愿景与所要求的主题相关的法律。

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