Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
Download Paper Format
Copyright Form
Author(s)
Bazila Hamid Dr. Khushboo Bansal
Abstract
This Paper Presents A Novel Approach To Text Summarization Using Pretraining-based Natural Language Generation (NLG) With Machine Learning. Utilizing Transformer Models Like BERT And GPT, The Study Develops An Encoder-decoder Framework To Generate Concise
Keywords
Natural Language Generation
Text Summarization
Machine Learning
Transformers
BERT
GPT
ROUGE Scores
Encoder-Decoder Models
Pretraining Techniques.
Paper ID
IJSARTV10I796330
Publication Date
July 29, 2024
Research Area
Computer Science Engineering