文章基本信息

标题：Improving Quality of Vietnamese Text Summarization Based on Sentence Compression
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作者：Ha Nguyen Thi Thu ; Tu Nguyen Ngoc ; Cuong Nguyen Ngoc 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2016
卷号：7
期号：2
DOI：10.14569/IJACSA.2016.070250
出版社：Science and Information Society (SAI)
摘要：Sentence compression is a valuable task in the framework of text summarization. In previous works, the sentence is reduced by removing redundant words or phrases from original sentence and tries to remain information. In this paper, we propose a new method that used Grid Model and dynamic programming to calculate n-grams for generating the best sentence compression. These reduced sentences are combined to text summarization. The experimental results showed that our method really effective and the text is grammatically, coherence and concise.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Sentence compression; topic modeling; text summarization; Grid model; n-grams; dynamic programming