2021
DOI: 10.48550/arxiv.2109.10886
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Investigating Entropy for Extractive Document Summarization

Alka Khurana,
Vasudha Bhatnagar

Abstract: Automatic text summarization aims to cut down readers' time and cognitive effort by reducing the content of a text document without compromising on its essence. Ergo, informativeness is the prime attribute of document summary generated by an algorithm, and selecting sentences that capture the essence of a document is the primary goal of extractive document summarization.In this paper, we employ Shannon's entropy to capture informativeness of sentences. We employ Non-negative Matrix Factorization (NMF) to revea… Show more

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