Deep recurrent neural networks with word embeddings for Urdu named entity recognition

Deep recurrent neural networks with word embeddings for Urdu named entity recognition

AbstractNamed entity recognition (NER) continues to be an important task in natural language processing because it is featured as a subtask and/or subproblem in information extraction and machine translation. In Urdu language processing, it is a very difficult task. This paper proposes various deep...

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Bibliographic Details
Main Authors: Wahab Khan, Ali Daud, Fahd Alotaibi, Naif Aljohani, Sachi Arafat
Format: Article
Language:English
Published: Electronics and Telecommunications Research Institute (ETRI) 2019-07-01
Series:ETRI Journal
Subjects:
conditional random fields
deep recurrent neural network
machine learning
named entity recognition
urdu
Online Access:https://doi.org/10.4218/etrij.2018-0553

Internet

https://doi.org/10.4218/etrij.2018-0553

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