A hybrid approach for standardized Dictionary-based knowledge extraction for Arabic morpho-semantic retrieval

Nadia Soudani, Ibrahim Bounhas, Y. Slimani
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引用次数: 1

Abstract

We propose in this paper to exploit Arabic dictionaries to enhance Arabic Information Retrieval (IR). We use standardized LMF dictionaries. We first put forward to mine such dictionaries and to represent them into graph-based representation. This graph will also be mined with a hybrid approach that combines both linguistic and statistical techniques to extract useful knowledge for IR. We study how extracted knowledge from such resource and added to the initial queries can attentively affect the retrieval process and results. Several query expansion strategies are carried based on morphological, semantic and morpho-semantic queries terms relations.
一种基于标准词典的阿拉伯语形态语义检索知识提取的混合方法
本文提出利用阿拉伯语词典来加强阿拉伯语信息检索。我们使用标准化的LMF字典。我们首先提出对这些字典进行挖掘,并将其表示为基于图的表示。此图还将使用结合语言和统计技术的混合方法来挖掘,以提取有用的IR知识。我们研究了从这些资源中提取知识并添加到初始查询中如何影响检索过程和结果。提出了基于词形、语义和词形语义查询词关系的几种查询扩展策略。
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