Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/4211
Title: Improving Quality of Vietnamese Text Summarization Based on Sentence Compression
Authors: Nguyễn, Thị Thu Hà
Nguyễn, Ngọc Cương
Nguyễn, Ngọc Tú
Huỳnh, Xuân Hiệp
Keywords: Sentence compression
Topic modeling
Text summarization
Grid model
n-grams
Dynamic programming
Issue Date: 2016
Series/Report no.: (IJACSA) International Journal of Advanced Computer Science and Applications;7 .- p.362-366
Abstract: 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.
URI: http://dspace.ctu.edu.vn/jspui/handle/123456789/4211
Appears in Collections:Tạp chí quốc tế

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