Bidirectional Recurrent Neural Network Approach for Arabic Named Entity Recognition
Bidirectional Recurrent Neural Network Approach for Arabic Named Entity Recognition
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Recurrent neural network (RNN) has achieved remarkable success in sequence labeling tasks with memory requirement. RNN can remember previous information of a sequence and can thus be used to solve natural language processing (NLP) tasks. Named entity recognition (NER) is a common task of NLP and can be considered a classification problem. We propos...
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Full title
Bidirectional Recurrent Neural Network Approach for Arabic Named Entity Recognition
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TN_cdi_doaj_primary_oai_doaj_org_article_813a59f46a8849edb986d997bab144e6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_813a59f46a8849edb986d997bab144e6
Other Identifiers
ISSN
1999-5903
E-ISSN
1999-5903
DOI
10.3390/fi10120123
