摘要
文本通过自然语言处理的自动化摘要方法以去除冗余,设计了语文作文语料标签智能化提取方式。明确了标签智能化提取效果评估指标,确保提取效果与精确度。以自动化抽取文本摘要方法、词典分词方法、有监督命名实体识别方法为技术框架,设定语文作文语料标签实践运用场景设置评估指标,以此开展测试试验分析。结果表明,基于本文设计的语文作文语料标签智能化提取方式在关键描述层面明显优于传统关键词算法,标签提取效果显著,值得大力推广应用。
In order to remove redundancy,text is extracted intelligently by automatic abstracting method of natural language processing,and ensures the extraction effect and accuracy.The results show that the intelligent extraction method of Chinese composition corpus label based on automatic text abstract is obviously superior to the traditional keyword algorithm at the key description level,and the effect of label extraction is remarkable,which is worth popularizing and applying.
作者
田莉
TIAN Li(Baoji Vocational&Technical College,Baoji 721013 China)
出处
《自动化技术与应用》
2021年第2期144-147,共4页
Techniques of Automation and Applications
关键词
文本自动化摘要
作文语料
标签
提取方式
text automation summary
composition corpus
label
extraction method
