计算机应用研究2017，Vol.34Issue(4)：981-985,5.DOI:10.3969/j.issn.1001-3695.2017.04.005
中文时间关键词识别研究
Extraction of Chinese temporal keywords
摘要
Abstract
Temporal information was used widely in the field of natural language processing and information retrieval.The use of temporal information was affected by the extraction task of temporal keywords directly.There were many characteristics for temporal information appeared in documents,such diversity of form,arbitrary location,undefined boundary,etc.In order to solve the extraction problem of Chinese temporal keywords,this paper proposed a method of phrase partition to convert documents into a set of phrase.It defineed the boundary of every phrase in sentences.On this basis,it put forward the method of phrasal vectorization to construct the vector space.Lastly,it solved the problem of identify temporal keywords through spectral clustering.Experiment shows the method achieves a very good effect.关键词
时间关键词/时间关键词识别/谱聚类Key words
temporal keywords/extraction of temporal keywords/spectral clustering分类
信息技术与安全科学引用本文复制引用
左亚尧,龙耀发,李杰骏..中文时间关键词识别研究[J].计算机应用研究,2017,34(4):981-985,5.基金项目
广东省自然科学基金资助项目(S2011040004281,S2013010014457) （S2011040004281,S2013010014457）
