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Word Sense Disambiguation for English Quranic IR System

机译:英语古兰经红外系统的词义消歧

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摘要

Quranic text Information Retrieval (IR) is quite demanding yet very trivial due to that user will not always use the exact keywords to retrieve the relevant Quranic text (verse). Many have tried to overcome this problem by expanding or reformulating the query entered by users using semantic approaches with resources such as ontologies and thesauri. Word Sense Disambiguation (WSD) has been less interest to the IR research community due to the insignificant or very little significant impact on the IR performance. Recently, researchers pay interest on applying WSD to the IR problem due to the intuition that deep semantic analysis on the query process will give good impact on the IR performance. However, we have not seen any articles mentioning the use of WSD for Quranic IR, which we are assuming less or none research on WSD for Quranic IR have been carried out. Thus, this motivates us to explore WSD impact on Quranic IR performance. This paper will describe our on-going project on building an English Quranic WSD at the early stage, which is still at the proposal stage, where we layout what could be the best approach, resources and disambiguation algorithm for Quranic WSD for IR.
机译:古兰经文本信息检索(IR)要求很高,但非常琐碎,因为用户将不会总是使用确切的关键字来检索相关的古兰经文本(反向)。许多人试图通过使用语义方法以及诸如本体论和叙词表等资源来扩展或重新格式化用户输入的查询来克服此问题。由于对IR性能的影响不大或影响很小,字词歧义消除(WSD)在IR研究界已引起较少的兴趣。最近,由于直觉性的发现,对查询过程进行深入的语义分析将对IR性能产生良好的影响,研究人员对将WSD应用于IR问题引起了兴趣。但是,我们还没有看到任何文章提及将WSD用于古兰经IR的情况,我们认为关于古兰经IR的WSD的研究很少或没有。因此,这激发了我们探索WSD对Quranic IR性能的影响。本文将描述我们正在进行的有关在早期阶段构建英语古兰经WSD的项目,该项目仍处于建议阶段,在此我们将为IR的古兰经WSD布局最佳方法,资源和消歧算法。

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