Information extraction is a main approach for constructing database from free text corpus and for automatic collecting intelligence information.
信息抽取是从自由文本语料库构建数据库，实现情报自动收集的有效途径之一。
The automatic extraction of remote sensing information can be carried out by mathematical description and computer processing of multi-characters space.
通过对多特征空间的数学描述和计算机处理实现遥感信息的自动提取。
However, with the blowup of multi-source and large region covering ocean remote sensing data, there are still many difficulties in fast and automatic extraction of spatial information of ocean eddies.
但面对日益增长的多源、大面积海洋遥感数据，在快速自动化提取海洋涡旋的空间信息方面还存在很多难题。
This article also probes into some theories and methods of automatic extraction of information from metadata by using template mining.
并探讨了在元数据中利用模板自动抽取信息的一些原理及方法。
With the current technology of Information Retrieval, this paper proposes a method of automatic keyword extraction from massive data sets based on feature combination.
本文利用现有的信息检索技术，对海量数据集上自动抽取关键词问题进行了研究，给出了一个基于特征组合的关键词自动抽取方法。
With the current technology of Information Retrieval, this paper proposes a method of automatic keyword extraction from massive data sets based on feature combination.
本文利用现有的信息检索技术，对海量数据集上自动抽取关键词问题进行了研究，给出了一个基于特征组合的关键词自动抽取方法。
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