计算机应用与软件Issue(10)：209-212,245,5.DOI:10.3969/j.issn.1000-386x.2013.10.057
基于连续LexRank的多文本自动摘要优化算法研究
RESEARCH ON OPTIMISATION ALGORITHM OF MULTIPLE TEXT AUTO-SUMMARISATION BASED ON CONTINUOUS LEXRANK
曾哲军1
作者信息
- 1. 广州番禺职业技术学院工商管理系 广东 番禺511483
- 折叠
摘要
Abstract
We take the text automatic summarisation (TAS)with mining property as the study object,rely on the concept of salient sentence,based on taking into account the existing correlated research outcomes,we design a multiple text automatic summarisation optimisation model and algorithm.The model is based on the concept of eigenvector centrality and continuous LexRank,and is represented in graphics.In this model,a connectivity matrix based on intra-sentence cosine similarity is constructed to realise the adjacency matrix corresponding to the graph representation of sentences.In order to verify the feasibility and efficiency of the algorithm,we design the correlated experimental scheme, and make real-time comparison with the execution effect of current algorithm. Experimental result demonstrates that the algorithm proposed in the paper with threshold and based on continuous LexRank has higher efficiency.关键词
LexRank/阈值/多文本自动摘要/优化算法/数学模型Key words
LexRank/Threshold/Multiple text automatic summarisation/Optimisation algorithms/Mathematical mode分类
信息技术与安全科学引用本文复制引用
曾哲军..基于连续LexRank的多文本自动摘要优化算法研究[J].计算机应用与软件,2013,(10):209-212,245,5.
