Title :
Arabic named entity extraction: A local grammar-based approach
Author :
Traboulsi, Hayssam
Author_Institution :
Dept. of Comput. Sci., American Univ. of Sci. & Technol., Beirut, Lebanon
Abstract :
The local grammar approach was first used to discuss recursive phrases that are commonly found in specialist literature like biochemistry and then extended to extract time, date and address expressions from letters. It has recently been applied to extract person names from English, Chinese, French, Korean, Portuguese, and Turkish news texts. This paper shows that this approach can also be used to extract person names from Arabic counterparts.
Keywords :
natural language processing; text analysis; Arabic named entity extraction; Chinese news texts; English news texts; French news texts; Korean news texts; Portuguese news texts; Turkish news texts; biochemistry; local grammar-based approach; person name extraction; Biochemistry;
Conference_Titel :
Computer Science and Information Technology, 2009. IMCSIT '09. International Multiconference on
Conference_Location :
Mragowo
Print_ISBN :
978-1-4244-5314-6
DOI :
10.1109/IMCSIT.2009.5352809