The multi-document summarization technology is becoming a research focus in the field of natural language processing.
多文档自动文摘技术日益成为自然语言处理领域的一个研究热点。
Automatic multi-document summarization is an outgrowth of single document summarization.
文本自动综述是自动文摘在多文档上的推广。
In this paper, we propose an approach to achieve a system for query-focused multi-document summarization.
针对面向查询的多文档自动文摘，本文提出了一种系统实现方法。
Sentence similarity computation is very important in all the fields of Natural Language Processing. In Multi-document Summarization Technology, sentence similarity computation is a key problem.
句子间相似度的计算在自然语言处理的各个领域都占有很重要的地位，在多文档自动文摘技术中，句子间相似度的计算是一个关键的问题。
Sentence similarity computation is very important in all the fields of Natural Language Processing. In Multi-document Summarization Technology, sentence similarity computation is a key problem.
句子间相似度的计算在自然语言处理的各个领域都占有很重要的地位，在多文档自动文摘技术中，句子间相似度的计算是一个关键的问题。
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