Transfer Learning for Arabic Named Entity Recognition With Deep Neural Networks

Transfer Learning for Arabic Named Entity Recognition With Deep Neural Networks

The vast amount of unstructured data spread on a daily basis rises the need for developing effective information retrieval and extraction methods. Named Entity Recognition is a challenging classification task for structuring data into pre-defined labels, and is even more complicated when being appli...

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Bibliographic Details
Main Authors: Mohammad Al-Smadi, Saad Al-Zboon, Yaser Jararweh, Patrick Juola
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Natural language processing
deep learning
transfer learning
ANER
universal sentence encoder
Bi-LSTM
Online Access:https://ieeexplore.ieee.org/document/8993806/

Internet

https://ieeexplore.ieee.org/document/8993806/

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