multi-document automatic summarization

常見例句

But the methods of evaluation of the Multi-document automatic summarization also have many problems, which are single and lack of uniform standard.
但對于多文檔文摘的評價(jià)方法仍然存在方法單一，缺乏統(tǒng)一標(biāo)準(zhǔn)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(tǒng)綜合了一些自然語言處理技術(shù)，包括文本分段、文本段聚類、向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.
針對這些問題，就多文檔文摘信息覆蓋度嘗試性地提出一套標(biāo)準(zhǔn)。