Khmer multi-document extractive summarization method based on hierarchical maximal marginal relevance

Khmer multi-document extractive summarization method based on hierarchical maximal marginal relevance

In order to solve the problem of ineffective utilization of the semantic information between documents in the traditional multi-document extractive summarization method and the excessive redundant content in the summary result, a Khmer multi-document extractive summarization method based on hierarch...

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Bibliographic Details
Main Authors: Zhaolin ZENG, Xin YAN, Bingbing YU, Feng ZHOU, Guangyi XU
Format: Article
Language:zho
Published: Hebei University of Science and Technology 2020-12-01
Series:Journal of Hebei University of Science and Technology
Subjects:
natural language processing; khmer; extractive summarization; deep learning; waterfall method; maximal marginal relevance(mmr)
Online Access:http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b202006005&flag=1&journal_

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http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b202006005&flag=1&journal_

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