基于smote的新闻地名提取与分类算法

IF 0.7 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Modeling Identification and Control Pub Date : 2017-01-01 DOI:10.2316/P.2017.848-028
Chen Zhang, Chongyang Shi
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引用次数: 0

摘要

地名是一种约定俗成的语言符号,不仅用于地理实体,还广泛应用于其他实体的命名中,因此对新闻地名提取的准确性影响很大。本文分析了新闻中地名的特点,将地名分为地理实体、组织实体和其他实体。针对这三种实体在新闻中的不平衡性,本文提出了一种基于smote的随机行走算法来实现地名的分类与识别。
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A Smote-based News-Specific Geographical Name Extraction and Classification Algorithm
A geographical name is a conventional language sign, which is not only used for a geographic entity, but also widely applied in the naming of other entities, thus significantly affecting the accuracy of news-specific geographical name extractions. In this paper, the characteristics of the geographical names in the news are analyzed and the geographical names are divided into geographic entity, organizational entity, in addition to other entities. For the unbalance of these three entities in the news, a SMOTE-based random walk algorithm is proposed here to realize the classification and identification of geographical names.
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来源期刊
Modeling Identification and Control
Modeling Identification and Control 工程技术-计算机:控制论
CiteScore
3.30
自引率
0.00%
发文量
6
审稿时长
>12 weeks
期刊介绍: The aim of MIC is to present Nordic research activities in the field of modeling, identification and control to the international scientific community. Historically, the articles published in MIC presented the results of research carried out in Norway, or sponsored primarily by a Norwegian institution. Since 2009 the journal also accepts papers from the other Nordic countries.
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