CAJ | 학술논문

文章对近五十年来国内外自动问题求解智能教学系统中自然语言的语义理解方法进行了梳理。对不同时期、不同系统的语义理解方法进行了分析和比较,归纳总结出系统能够解决题目受限的原因,并得出以下结论：问题表征是语义理解的方向,知识库是语义理解的基础,借鉴认知科学的研究成果是语义理解研究的趋势。最后提出了该领域面临的问题和挑战。
문장대근오십년래국내외자동문제구해지능교학계통중자연어언적어의리해방법진행료소리。대불동시기、불동계통적어의리해방법진행료분석화비교,귀납총결출계통능구해결제목수한적원인,병득출이하결론：문제표정시어의리해적방향,지식고시어의리해적기출,차감인지과학적연구성과시어의리해연구적추세。최후제출료해영역면림적문제화도전。
This paper reviewed the method of semantic analysis in the automated problem solving of ITS in the recently fifty years. The methods of semantic in the different years are compaRed. The reason that the problems were constrained for solving is concluded. And this paper concludes that the representation is the direction of semantic analysis, the knowledge base is the basic of semantic analysis, and initiating the researched of cognitive psychology is the trend. The problems and challenges are given at last.