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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.
Dhumal et al. (Thu,) studied this question.
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