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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