Unified extractive-abstractive summarization: a hybrid approach utilizing BERT and transformer models for enhanced document summarization.

ABSTRACT: With the exponential proliferation of digital documents, there arises a pressing need for automated document summarization (ADS). Summarization, a compression technique, condenses a source document into concise sentences that encapsulate its salient information for summary generation. A primary challenge lies in crafting a dependable summary, contingent upon both extracted features and human-established parameters. This article introduces an intelligent methodology that seamlessly integrates extractive and abstractive techniques to ensure heightened relevance between the input document and its summary. Initially, input sentences undergo transformation into representations utilizing BERT, subsequently transposed into a symmetric matrix based on their similarity. Semantically congruent sente

SUBMITTER: S D 

PROVIDER: S-EPMC11802190 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature