基于基本要素向量空间的英文多文档自动摘要

在基于基本要素(BE)向量空间的英文多文档自动文摘中，句子不再用术语向量或词向量来表达，而是用基本要素向量来表示。在用k-均值聚类算法时，采用一种自动探测k值的技术。实验表明，基于基本要素的多文档自动文摘MSBEC比基于词更优越。

English Multi-document Summarization Based on Basic Element Vector Space

This paper proposes a novel multi-document summarization strategy based on basic element(BE) vector clustering.In this strategy,sentences are represented by BE vectors instead of word or term vectors before clustering.The BE-vector clustering is realized by adopting the k-means clustering method,and a novel clustering analysis method is employed to automatically detect the number of clusters,k.The experimental results indicate a superiority of the proposed strategy over the traditional summarization strategy based on word vector clustering.