首页> 外文会议>2015 First International Conference on Arabic Computational Linguistics >Transducers Cascades for an Automatic Recognition of Arabic Named Entities in Order to Establish Links to Free Resources
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Transducers Cascades for an Automatic Recognition of Arabic Named Entities in Order to Establish Links to Free Resources

机译:换能器级联,用于自动识别阿拉伯名称的实体,以便建立与免费资源的链接

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摘要

Arabic named entities (ANE) are often sources of information. That is why they are used by several applications of natural language processing (NLP) mainly in information retrieval. In order to improve the relevance of the information obtained, links to free resources can be established. Indeed, the recognition of these entities requires the use of adequate formalisms. In this paper, we propose an approach based on transducer cascades which allows the recognition of ANE more precisely the dates. This categorycan be an integral part in the events and the names of places. The implementation of the developed transducers cascades elaborated by using the CasSys tool is available under the Unitex platform. The results are motivating.
机译:阿拉伯命名实体(ANE)通常是信息来源。这就是为什么自然语言处理(NLP)的几种应用程序主要在信息检索中使用它们的原因。为了提高所获得信息的相关性,可以建立到免费资源的链接。确实,对这些实体的认可要求使用适当的形式主义。在本文中,我们提出了一种基于换能器级联的方法,该方法可以更精确地识别ANE的日期。此类别可以成为事件和地点名称中不可或缺的部分。在Unitex平台下,可以使用CasSys工具详细开发已开发的换能器级联。结果令人鼓舞。

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