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。
Identifying entity relation of sentence is important technology of information extraction.
识别句子中实体关系是信息抽取的重要技术。
The research can be summarized as follows:Firstly, for query-focus multi-document summarization, this paper proposed the strategy of summary sentence selection using keywords extraction.
本文的主要工作包括以下几个方面：第一，本文提出了一种以关键词语抽取为核心的文摘句选择策略。
Finally, the sentence topics extraction and polarity discrimination method to improve, and design with rule-matching algorithm applied to the calculation of the sentence to the sentiment orientation.
最后，对中文句子主题抽取与极性判别方法进行了详细的方法改进，并提出运用搭配规则匹配算法进行句子情感倾向的计算。
We divide the system into four main tasks: word segment and sentence segment, syntax analysis, keyword extraction and sentence similarity computing.
本文将阅卷过程分解为四个主要任务来进行的：分句分词、句法分析、关键词提取和相似度计算。
We divide the system into four main tasks: word segment and sentence segment, syntax analysis, keyword extraction and sentence similarity computing.
本文将阅卷过程分解为四个主要任务来进行的：分句分词、句法分析、关键词提取和相似度计算。
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