Abstract: Text summarization aims to provide a concise description of the content by compressing and refining the original text.For the Chinese patented text,an algorithm for generating patent summarization based on the PatentRank algorithm is proposed.Firstly,the candidate sentence groups are redundantly processed to remove the sentences with high similarity in the candidate sentence groups.Then,three different similarity calculation methods are constructed for the patent claims and descriptions to calculate the weights between sentences.Finally,the sentence with high weight is selected as the summarization of the patent.The algorithm has achieved good results in the selected datasets.Experimental results demonstrate that the proposed method substantially outperforms existing approaches in terms of ROUGE measurement.

Key words: Chinese information processing, Patent, PatentRank, Similarity calculating, Text summarization