计算机工程

• 人工智能及识别技术 • 上一篇    下一篇

基于URL 的中文多语义名词在线语义标注

刘一正,杨 静,李 强   

  1. (华东师范大学计算机科学技术系,上海200241)
  • 收稿日期:2013-07-25 出版日期:2014-10-15 发布日期:2014-10-13
  • 作者简介:刘一正(1990 - ),女,硕士研究生,主研方向:自然语言处理;杨 静,副教授;李 强,博士。
  • 基金项目:
    上海市国际科技合作基金资助项目(11530700300);上海市科委科研基金资助项目“面向NGB 的智能业务分析关键技术研究 及系统研制”(12dz1500205)。

Online Semantic Annotation of Chinese Multi-semantic Nouns Based on URL

LIU Yi-zheng,YANG Jing,LI Qiang   

  1. (Department of Computer Science and Technology,East China Normal University,Shanghai 200241,China)
  • Received:2013-07-25 Online:2014-10-15 Published:2014-10-13

摘要: 中文语义标注在自然语言处理领域有广泛的应用,其目的在于挖掘并标注出中文多语义名词的多个语义。提出一种新颖的语义标注算法,通过在线URL 分类目录,构建得到URL 分类器。借助于URL 分类器,对搜索引擎 返回的多语义名词的搜索结果(包括网页URL 及摘要)进行分类,得到多语义名词的初始语义分类结果。对初始 语义分类结果按其网页摘要聚类,提取聚类特征后得到多语义词的语义标注结果。该算法利用基于URL 的网页 分类方法,能在线对中文多语义名词进行语义标注。实验结果证明,该语义标注算法可以取得70% 的准确率及80% 的召回率,适用于网络热词语义标注。

关键词: 语义标注, 自然语言处理, 中文多语义名词, URL 分类器, 文本聚类, 热词

Abstract: Chinese semantic annotation aims to find out the senses of a multi-semantic word,which is widely applied in natural language processing. This paper proposes a novel approach for semantic annotation of multi-semantic Chinese nouns. Given a multi-semantic Chinese noun,the proposed method can get its senses. The procedure is described as follows. The search results including URLs and abstracts of related Web pages are acquired through a search engine. The initial semantic classes are automatically generated by an online URL classifier using information gotten at the first step. Clustering algorithms are adopted to make full use of the Web page abstracts to get the final semantic classes. Experimental results demonstrate the proposed novel approach can obtain a considerable precision and recall rate with little manual intervention.

Key words: semantic annotation, natural language processing, Chinese multi-semantic noun, URL classifier, text clustering, hot word

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