Fine Tuning Transformer Based BERT Model for Generating the Automatic Book Summary

نویسندگان

چکیده

Major text summarization research is mainly focusing on summarizing short documents and very few works witnessed for long document summarization. Additionally, extractive more addressed as compared with abstractive Abstractive summarization, unlike does not only copy essential words from the original but requires paraphrasing to get close human generated summary. The machine learning, deep learning models are adapted contemporary pre-trained like transformers. Transformer based Language gaining a lot of attention because self-supervised training while fine-tuning Natural Processing (NLP) downstream task proposed work an attempt investigate use transformers abstraction. tested book especially evaluating performance model.

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ژورنال

عنوان ژورنال: International Journal on Recent and Innovation Trends in Computing and Communication

سال: 2022

ISSN: ['2321-8169']

DOI: https://doi.org/10.17762/ijritcc.v10i1s.5902