Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set.
在已有的英语语义词典及大量训练集的基础上，应用机器学习、数据挖掘等技术进行知识获取并最终形成若干个概念推理网。
On this basis, the scope of expanded concept set is adjusted by the similarity threshold, and the query expansion based on semantic concepts is realized.
在此基础上，通过对相似度阈值的控制来调整扩展概念集的范围和大小，从而实现语义概念层次上的查询扩展。
This paper presents the concept of semantic pattern, and constructs semantic pattern base of English preposition phrases and sentences, major parameter base and knowledge base of English set phrases.
在研究英语介词相关短语和句式的基础上，给出了语义模式的概念，构建了介词相关短语语义模式库、相关句式语义模式库、主虚量库和固定搭配知识库。
This paper presents the concept of semantic pattern, and constructs semantic pattern base of English preposition phrases and sentences, major parameter base and knowledge base of English set phrases.
在研究英语介词相关短语和句式的基础上，给出了语义模式的概念，构建了介词相关短语语义模式库、相关句式语义模式库、主虚量库和固定搭配知识库。
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