Improve Bayesian Network to Generating Vietnamese Sentence Reduction

Sentence reduction is one of approaches for text summarization that has been attracted many researchers and scholars of natural language processing field. In this paper, we present a method that generates sentence reduction and applying in Vietnamese text summarization using Bayesian Network model. Bayesian network model is used to find the best likelihood short sentence through compare difference of probability. Experimental results with 980 sentences, show that our method really effectively in generating sentence reduction that understandable, readable and exactly grammar.