multi-document automatic summarization

基本解釋

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(duì)於多文檔文摘的評(píng)價(jià)方法仍然存在方法單一，缺乏統(tǒng)一標(biāo)準(zhǔn)的問(wèn)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(tǒng)綜郃了一些自然語(yǔ)言処理技術(shù)，包括文本分段、文本段聚類(lèi)、曏量空間模型的相似度計(jì)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(duì)這些問(wèn)題，就多文檔文摘信息覆蓋度嘗試性地提出一套標(biāo)準(zhǔn)。