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Ass. Lect. Heba Mohamed Khalil Baioumy :: Publications:

Title:
Hierarchical N-gram Algorithm for extracting Arabic Entities
Authors: E Amer, HM Khalil, T El-shistawy
Year: 2016
Keywords: Natural Language Processing; Entity; N-gram; Arabic Wikipedia; Information Extraction
Journal: Not Available
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: Not Available
Local/International: International
Paper Link: Not Available
Full paper Heba Mohamed Khalil Baioumy_Hierarchical_N-gram_Algorithm_for_extrac.pdf
Supplementary materials Not Available
Abstract:

Entities Extraction becomes very important for developing many applications of Natural Language Processing (NLP). In this paper, we present a new algorithm to extract entities from Arabic text. The approach uses the semi-structured knowledge source: Arabic Wikipedia to predict the words that constitutes an Arabic entity. Our method is generic and can be applied directly to other languages to extract entities. The proposed method has been designed to analyze Arabic text hierarchically with variable length N-gram. The experimental results have proven that the proposed system is very efficient in detecting entities from large set of Arabic news

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