multi-document automatic summarization

基本解释

But the methods of evaluation of the Multi-document automatic summarization also have many problems, which are single and lack of uniform standard.
但对于多文档文摘的评价方法仍然存在方法单一，缺乏统一标准的问题。
Our automatic multi-document summarization system combine a series of NLP techniques, such as text segmentation, text clustering and Vector Space Model.
系统综合了一些自然语言处理技术，包括文本分段、文本段聚类、向量空间模型的相似度计算等。
The investigative point in this text is to attempt to give a standard aiming at the covered rate of information of Multi-document automatic summarization.
针对这些问题，就多文档文摘信息覆盖度尝试性地提出一套标准。