Performance of Bidirectional Encoder Representations
from Transformers using Various Metrics
Journal:
GRENZE International Journal of Engineering and Technology
Authors:
Dokka Surya Teja, Arulmurugaselvi N, B.Surendiran
Volume:
10
Issue:
2
Grenze ID:
01.GIJET.10.2.199
Pages:
4036-4039
Abstract
NLP or Natural Language Processing is a dramatically de- veloping field. In the "new
ordinary" forced by COVID-19, a huge extent of instructive material, news, and conversations
occur through computer- ized media stages. This gives more text information accessible to work
on!
Initially, straightforward RNNS (Recurrent Neural Networks) were uti- lized for preparing text
classification. Yet, as of late, there have been many new examination distributions that give better
cutting-edge out- comes. One such is BERT. In this paper, I’ll put down my presentation of the
BERT transformer utilizing different measurements.