文章基本信息

标题：A Rule Based Persons Names Arabic Extraction System
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作者：Ali Elsebai ; Farid Meziane ; Fatma Zohra Belkredim 等
期刊名称：Communications of the IBIMA
电子版ISSN：1943-7765
出版年度：2009
卷号：2009
页码：53-59
出版社：IBIMA Publishing
摘要：Named Entity Extraction is a very new in Arabic Natural Language processing although it has reached maturity for some other languages such as English and French. In this paper, we describe the development and implementation of a person name named entity recognition system for the Arabic Language. We adopt a rule based approach make used of the output produced by the Buckwalter Arabic Morphological Analyser (BAMA), and we used a set of keywords to guide us to the phrases that probably include person names. We have also compared our system with (PERA) Person Name Entity Recognition for Arabic [9] which is based on a lexicon, in the form of gazetteer name lists, and a grammar, in the form of regular expressions. Our system achieves an F-measure of 89% which is an improvement on the results reported by (PERA).