计算机科学 ›› 2020, Vol. 47 ›› Issue (6A): 45-48.doi: 10.11896/JsJkx.190500028
束云峰, 王中卿
SHU Yun-feng and WANG Zhong-qing
摘要： 文本摘要任务旨在通过对原文进行压缩提炼,得出简明扼要的内容描述。针对中文专利文本,提出了一种基于Patent-Rank算法生成专利摘要的算法。首先,对候选句群做冗余处理,以去除候选句群中相似度较高的句子;然后,对专利中的权利要求书和说明书构建3种不同的相似度计算方法,以计算句子之间的影响权重;最后,选取权值高的句子输出,并将其作为专利的摘要。该算法在选取的数据集中取得了较好的效果。实验结果表明提出的算法相比于已有方法在ROUGE值上有显著提高。
中图分类号:
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