A material named entity recognition model using domain embedded bi-lstm and hybrid cosine with wordvector similarity approach

A material named entity recognition model using domain embedded bi-lstm and hybrid cosine with wordvector similarity approach

In recent years, the field of energy storage has witnessed a significant surge in research activities. Concurrently, there is a growing demand for the exploration of materials and processes employed in supercapacitors. Given the multitude of available materials and processes, it is difficult to expe...

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Bibliographic Details
Main Author: Miah, Md Saef Ullah
Format: Thesis
Language:English
Published: 2024
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/44642/
http://umpir.ump.edu.my/id/eprint/44642/1/A%20material%20named%20entity%20recognition%20model%20using%20domain%20embedded%20bi-lstm%20and%20hybrid%20cosine%20with%20wordvector%20similarity%20approach.pdf

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