文本关键词抽取方法及在几种民族语言上的应用

Text Keyword Extraction Methods and TheirApplication in Several Ethnic Languages

文本关键词的抽取作为文本摘要、文本检索以及文本挖掘任务的基础工作,在自然语言领域得到广泛应用。通过对文本关键词抽取方法和研究现状的详述,将文本关键词抽取方法分为传统文本关键词抽取方法和基于深度学习的文本关键词抽取方法,并对比分析各类方法的基本思想和优缺点,归纳了文本关键词抽取方法的评价指标。进一步调研了民族语言关键词抽取的研究现状,阐述处理民族语言文字时存在的困难,总结了几种民族语言如蒙古文、藏文、维吾尔文的关键词抽取技术和应用场景。

The text keyword extraction is widely used as the basic work of text summarization,text retrieval and text mining tasks in the field of natural language.Through analyzing the research status of text keyword extraction methods in detail,the extraction methods were divided into traditional and based on deep learning two categories.The comparative analysis of the basic ideas of various methods,as well as the advantages and disadvantages of them,concluded some evaluation standards for the text keyword extraction method.Further investigation for research status of the key words extraction in ethnic languages revealed the difficulties in processing ethnic languages at present.We also obtained some key word extraction techniques and presented application scenarios for several ethnic languages,such as Mongol,Tibetan,and Uighur in the paper.