1) key noun phrase extraction
关键名词短语抽取
2) keyphrase extraction
关键短语抽取
1.
An automatic keyphrase extraction algorithm for Chinese documents based on weighted complex network is proposed in our paper.
提出了基于加权复杂网络的中文文档关键短语抽取方法。
3) keyword extraction
关键词抽取
1.
Applications of Hierarchical Keyword Extraction and Automated Text Classification in Bulletin Board System;
层次化关键词抽取与文本自动分类在BBS中的应用
2.
In this paper,the impacts of these elements on keyword extraction a.
词的重要性评价是关键词抽取研究中比较重要的环节,其中一种比较常用的方法是对词的相关属性进行加权分析,并根据综合权值确定重要性程度。
3.
The experimental test with self-compiled software indicates the algorithm improves the efficiency of automatic keyword extraction of Chinese sc.
本文在海量智能分词基础之上,提出了一种基于向量空间模型和TFIDF方法的中文关键词抽取算法。
4) Keywords Extraction
关键词抽取
1.
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.
实验结果表明,以关键词抽取为核心的文摘句选择策略和聚类与模板融合的文摘句排序策略都取得了比较好的效果,有效地提高了文摘的质量。
2.
This paper analyzes several existing Chinese word segmentation methods, brings out a keywords extraction algorithm which according to the weight formula.
分析现有几种中文分词方法,提出一种关键词抽取算法。
5) keyphrase
关键词短语
1.
This paper argues that the keywords extraction can be treated as two problems: extracting keywords and extracting keyphrases.
本文提出将关键词提取分为两个问题进行处理:关键单词提取和关键词短语提取,设计了一种基于分离模型的关键词提取算法。
6) Key phrase extraction
关键词组抽取
1.
In this paper, a new information retrieval algorithm based on classification and key phrase extraction is proposed.
本文提出一种基于分类和关键词组抽取的信息检索算法。
补充资料：关键
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参考词条