KAUST DepartmentComputational Bioscience Research Center (CBRC)
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AbstractNamed 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. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
CitationS. 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 (July 11, 2016); doi:10.1117/12.2240887; http://dx.doi.org/10.1117/12.2240887
PublisherSPIE-Intl Soc Optical Eng
Conference/Event nameFirst International Workshop on Pattern Recognition