Cross domains Arabic named entity recognition system

S. Saad Al-Ahmari; B. Abdullatif Al-Johar

doi:10.1117/12.2240887

11 July 2016 Cross domains Arabic named entity recognition system

S. Saad Al-Ahmari, B. Abdullatif Al-Johar

Proceedings Volume 10011, First International Workshop on Pattern Recognition; 100111I (2016) https://doi.org/10.1117/12.2240887
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan

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.

Citation Download Citation

S. Saad Al-Ahmari and B. Abdullatif Al-Johar "Cross domains Arabic named entity recognition system", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100111I (11 July 2016); https://doi.org/10.1117/12.2240887

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