Improving Quality of Vietnamese Text Summarization Based on Sentence Compression
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 2
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.
Authors and Affiliations
Ha Thu, Tu Ngoc, Cuong Ngoc, Hiep Huynh
Keywords
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- EP ID EP106825
- DOI 10.14569/IJACSA.2016.070250
- Views 120
- Downloads 0
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