Abstract：This paper proposes a Chinese-Vietnamese bilingual news perspective sentence extraction method that incorporates multiple features. Firstly, for the problem of unbalanced resources in Chinese and Vietnamese, this method constructs a Chinese-Vietnamese bilingual word embedding model. We use rich Chinese tag resources to make up for the lack of Vietnamese tagging resources. Then, the emotional, topical and positional features of sentences are integrated into the word vector and attention mechanism respectively. Experiments show that this method can effectively improve the accuracy of Vietnamese news perspective sentence extraction.
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2019, Vol. 33 
