High Impact Factor : 7.883
Submit your paper here

Impact Factor

7.883


Call For Paper

Volume: 11 Issue 01 January 2025


Download Paper Format


Copyright Form


Share on

Pretraining-based Natural Language Generation For Text Summarization With Machine Learning

  • Author(s):

    Bazila Hamid | Dr. Khushboo Bansal

  • Keywords:

    Natural Language Generation, Text Summarization, Machine Learning, Transformers, BERT, GPT, ROUGE Scores, Encoder-Decoder Models, Pretraining Techniques.

  • 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

Other Details

  • Paper id:

    IJSARTV10I796330

  • Published in:

    Volume: 10 Issue: 7 July 2024

  • Publication Date:

    2024-07-29


Download Article