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- W4375817811 abstract "Nowadays, text summarization is an important research area because of its large requirements in society. The usage is increasing in different areas such as education, health care, and legal. In the past, researchers have carried a lot of work on different text summarization techniques. Also, they propose machine learning/deep learning-based approaches for text summarization. This study proposed a novel statistical approach for extractive multi-document text summarization. The proposed approach is based on weight assignment of keywords, in local files and global files. We evaluate the approach of the publicly available “Multi-news” dataset. Results show that the proposed approach outperforms 1.08% in the ROUGE-L F1 score on the state-of-the-art method." @default.
- W4375817811 created "2023-05-09" @default.
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- W4375817811 date "2023-01-01" @default.
- W4375817811 modified "2023-10-16" @default.
- W4375817811 title "Extractive Text Summarization Using Statistical Approach" @default.
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- W4375817811 doi "https://doi.org/10.1007/978-981-19-7867-8_52" @default.
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