基于知识图谱的中外自然语言处理研究的对比分析

The Comparative Analysis of Natural Language Processing Research at Home and Abroad Based on Knowledge Mapping

【目的】从多角度对中外自然语言处理的发展进行对比分析。【方法】对5582篇来自CNKI、10348篇来自Web of Science、5573篇来自与自然语言处理相关的重大国际会议文献,采用词频统计法、共现分析法相结合的方法,利用知识图谱呈现统计结果。【结果】统计结果表明,中外对自然语言处理的研究表现出极大的相似性,研究内容都集中在信息抽取、人工智能、信息检索、机器翻译、机器学习等领域。【局限】检索主题词的选取、数据清洗时的主观性给研究带来误差。【结论】对国内自然语言处理的发展提出建议。

[Objective] This paper makes a comparative analysis to the development of natural language processing at home and abroad from multi-angle. [Methods] The literatures are from CNKI （5 582）, Web of Science （10 348） and major international conferences on natural language processing （5 573）. Use word frequency statistics and co-occurrence analysis as main research methods and use knowledge maps to show statistical results. [Results] The result shows that the study of natural language processing performance at home and abroad has a great similarity. Their research focuses on the domains of information extraction, artificial intelligence, information retrieval, machine translation, machine learning and so on. [Limitations] There are some limitations in this paper, such as the choice of subject term, the error resulting from the subjectivity to data cleaning. [Conclusions] According to the results, several recommendations are made on the development of natural language processing.