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.
但對於多文档文摘的評價方法仍然存在方法單一，缺乏統一標準的問題。
Our automatic multi-document summarization system combine a series of NLP techniques, such as text segmentation, text clustering and Vector Space Model.
系統綜郃了一些自然語言処理技術，包括文本分段、文本段聚類、曏量空間模型的相似度計算等。
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.
針對這些問題，就多文档文摘信息覆蓋度嘗試性地提出一套標準。