1.School of Information Engineering, Minzu University of China, Beijing 100081, China; 2.Minority Languages Branch, National Language Resource and Monitoring Research Center, Minzu University of China, Beijing 100081, China
Abstract：For Tibetan text abstraction, this paper proposes an improved TextRank for Tibetan extractive summarization. This method integrates the information of the external corpus into the TextRank algorithm in the form of word vector. The sentence is represented by each word vector, which means sentence vector is applied for sentence scoring. We select the sentences with the highest scores and reorder them as a summary of the text. The experimental results demonstrate that the method can effectively improve the quality of the abstract according the ROUGE evaluation method.
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2020, Vol. 34 
