Open AccessNamed Entity Recognition in English Text
Author(s) -
Rachna Jain,
Abhishek Sharma,
Gouri Sankar Mishra,
Parma Nand,
Sudeshna Chakraborty
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1712/1/012013
Subject(s) - named entity recognition , computer science , natural language processing , field (mathematics) , artificial intelligence , linguistics , natural (archaeology) , artificial neural network , history , engineering , philosophy , mathematics , systems engineering , pure mathematics , task (project management) , archaeology
Natural Language processing has been one of the challenging field of computational linguistics. Language processing occurs in several steps in which Named Entity Recognition is one of the prominent phase. NER frameworks have been contemplated and created generally for a considerable length of time, however precise frameworks utilizing profound neural systems (NN) have just been presented over the most recent couple of years. We present a far reaching review of profound neural system models for NER, and balance them with past ways to deal with NER dependent on highlight designing and other regulated or semi-administered learning calculations.