Automatic acquisition of knowledge is always one of the greatest problem in NLP (natural language process).
在自然语言处理中,知识的自动获取一直是一个核心问题。
The key of solving this is implementing the method of automatic acquisition of knowledge, i. e. to intelligent acquisition.
解决这个问题的关键在于知识的自动获取方法的实现,也就是希望能够达到智能获取。
Induction learning of decision tree based on ID3 algorithm is an important branch of inductive learning now, which can be used to automatic acquisition of knowledge.
基于ID 3算法的决策树归纳学习是归纳学习的一个重要分支,可用于知识的自动获取过程。
Based on the traditional expert system, the integrated module of neural network ensembles is applied in this model in order to insure the automatic acquisition of knowledge and reasoning.
该模型在传统专家系统基础上,增加了神经网络集成模块,以解决知识的自动获取和推理问题。
Automatic verification of hyponymy relations is a basic problem in knowledge acquisition from text.
上下位关系的自动验证是知识获取中的一个关键问题。
A method of KR knowledge acquisition is introduced according to expression forms of KR, which includes both automatic knowledge acquisition and non-automatic knowledge acquisition.
根据普通的亲属关系表达形式的分析,提出了亲属关系知识获取的方法,包括自动知识获取和非自动知识获取相结合。
A method of KR knowledge acquisition is introduced according to expression forms of KR, which includes both automatic knowledge acquisition and non-automatic knowledge acquisition.
根据普通的亲属关系表达形式的分析,提出了亲属关系知识获取的方法,包括自动知识获取和非自动知识获取相结合。
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