Arabic named entity recognition—a survey and analysis

Amal Dandashi, Jihad Al Jaam, Sebti Foufou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As Arabic digital data has been increasing in abundance; the need for processing this information is growing. Named entity recognition (NER) is an information extraction technique that is vital to the processes of natural language processing (NLP). The ambiguous characteristics of the Arabic language make tasks related to NER and NLP very challenging. In addition to that, work related to Arabic NER is rather limited and under-studied. In this study, we survey previous works and methodologies and provide an analysis and discussion on the feature sets used, evaluation tools and advantages and disadvantages of each technique.

Original languageEnglish (US)
Title of host publicationIntelligent Interactive Multimedia Systems and Services 2016
EditorsLakhmi C. Jain, Lakhmi C. Jain, Giuseppe De Pietro, Luigi Gallo, Robert J. Howlett, Lakhmi C. Jain
PublisherSpringer Science and Business Media Deutschland GmbH
Pages83-96
Number of pages14
ISBN (Print)9783319393445
DOIs
StatePublished - Jan 1 2016
Event9th KES International Conference on Intelligent Interactive Multimedia Systems and Services, IIMSS 2016 - Canary Islands, Spain
Duration: Jun 15 2016Jun 17 2016

Publication series

NameSmart Innovation, Systems and Technologies
Volume55
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

Other9th KES International Conference on Intelligent Interactive Multimedia Systems and Services, IIMSS 2016
CountrySpain
CityCanary Islands
Period6/15/166/17/16

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ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

Cite this

Dandashi, A., Al Jaam, J., & Foufou, S. (2016). Arabic named entity recognition—a survey and analysis. In L. C. Jain, L. C. Jain, G. De Pietro, L. Gallo, R. J. Howlett, & L. C. Jain (Eds.), Intelligent Interactive Multimedia Systems and Services 2016 (pp. 83-96). (Smart Innovation, Systems and Technologies; Vol. 55). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-39345-2_8