使用命名实体识别的智能搜索工具

Faisal Alshuwaier, Waleed A. Almutairi, Ali Areshey
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引用次数: 4

摘要

当前,信息抽取(IE)和命名实体识别(NER)的一个分支领域变得越来越重要。认识词组和数字等信息单位是很重要的。识别文本中对这些实体的引用被认为是IE的重要子任务之一,被称为“NER和分类”。在本文中,我们提出了一种(NER)技术,该技术使用文本分类方法对短语和数字数字进行注释,以开发索引中要搜索的查询。我们还研究了如何利用短语集和数字之间的对偶性来增长目标关系,分配高分,段落提取和排名组件。描述了开发过程中应用的总体体系结构。为了测试我们的技术,我们使用它从Web中提取短语和数字对之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Search Tools Using Named Entity Recognition
Nowadays, one sub field of Information Extraction (IE) and Named Entity Recognition (NER) becomes more important. It is essential to recognize information units like the phrases and digital numbers. Identifying references to these entities in text was recognized as one of the important sub-tasks of IE and was called "NER and Classification ". In this paper, we propose a (NER) technique, which uses text classification methods for annotating the phrases and digital numbers to develop the query to be searched in the index. We also investigate which exploits the duality between set of the phrases and digital numbers to grow the target relation, assign the high scores, a passage extraction and ranking component. The overall architecture applied during development is described. To test our technique we use it to extract a relation of the phrases and digits pairs from the Web.
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