Sentence Extraction based Document Automatic Summarization is an old-line, efficient, and widely used method.
基于句子抽取的方法是一个历史悠久、简单有效且目前仍然被广泛使用的自动文摘方法。
参考来源 - 基于不同特征权重的中文网页自动摘要·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
Based on manual definition of templates and rules, it aims at precise sentence extraction rather than wide recall.
基于模板和规则的人工定义，它旨在准确的句子提取，而非广泛地检索。
Candidate answer sentence extraction is an important part of answer extraction, which directly effects question answering system's performance.
候选答案句抽取是问答系统中答案抽取的重要组成部分，其质量直接影响问答系统的性能。
It first mines product features from reviews, then classifies reviews at the granularity level of sentence, and at last generates summary via sentence extraction.
首先自动从评论中识别用户评价的商品特征，根据特征对评论句分类，然后使用句子抽取的方法生成摘要。
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