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Proceedings Paper

Cross domains Arabic named entity recognition system
Author(s): S. Saad Al-Ahmari; B. Abdullatif Al-Johar
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Paper Abstract

Named Entity Recognition (NER) plays an important role in many Natural Language Processing (NLP) applications such as; Information Extraction (IE), Question Answering (QA), Text Clustering, Text Summarization and Word Sense Disambiguation. This paper presents the development and implementation of domain independent system to recognize three types of Arabic named entities. The system works based on a set of domain independent grammar-rules along with Arabic part of speech tagger in addition to gazetteers and lists of trigger words. The experimental results shown, that the system performed as good as other systems with better results in some cases of cross-domains corpora.

Paper Details

Date Published: 11 July 2016
PDF: 9 pages
Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100111I (11 July 2016); doi: 10.1117/12.2240887
Show Author Affiliations
S. Saad Al-Ahmari, King Abdullah Univ. of Science and Technology (Saudi Arabia)
B. Abdullatif Al-Johar, King Faisal Univ. (Saudi Arabia)


Published in SPIE Proceedings Vol. 10011:
First International Workshop on Pattern Recognition
Xudong Jiang; Guojian Chen; Genci Capi; Chiharu Ishll, Editor(s)

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