Text Summarization Using NLP
Sudarshan Sutar,Indraneel Surve,2 Authors,Prof Priyanka Dhumal
TLDR
This research introduces a groundbreaking text summarization approach by combining BERT for extractive summarization and GPT for abstractive summarization, resulting in a hybrid system that leverages the precision of extraction and the linguistic fluency of abstraction.
Abstract
In the This research introduces a groundbreaking text summarization approach by combining BERT for extractive summarization and GPT for abstractive summarization. The synergy of these models results in a hybrid system that leverages the precision of extraction and the linguistic fluency of abstraction. Experimental results demonstrate the model's efficacy in producing high-quality summaries, showcasing its potential impact on information synthesis across diverse domains.