Bidirectional Recurrent Neural Network Approach for Arabic Named Entity Recognition

Bidirectional Recurrent Neural Network Approach for Arabic Named Entity Recognition

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...

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Bibliographic Details
Main Authors: Mohammed N. A. Ali, Guanzheng Tan, Aamir Hussain
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Future Internet
Subjects:
Arabic named entity recognition
bidirectional recurrent neural network
GRU
LSTM
natural language processing
word embedding
Online Access:https://www.mdpi.com/1999-5903/10/12/123

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https://www.mdpi.com/1999-5903/10/12/123

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