摘要
机器学习技术在自然语言处理中的应用是一个研究热点。简单介绍并分析、评价了机器学习的方法之一--基于实例学习。就其在自然语言处理关键环节之一--浅层句法分析方面进行实验研究并分析其结果。最后,讨论了基于实例学习在自然语言处理中的应用。
Machine learning technique in natural language processing is a hot research, In this paper, we introduce, analysis and evaluation one of machine learning methods - Instance-based Learning briefly, and analyze the results on the experimental of the Shallow Parsing, which is one of the key links in Natural Language Processing. In the end, it's application in the natural language processing is discussed.
出处
《情报科学》
CSSCI
北大核心
2010年第2期248-251,256,共5页
Information Science
关键词
机器学习
浅层句法分析
相似度比较
machine leaming
shallow parsing
similarity comparison