System mining inference rules from natural language texts

被引：0

作者：

Lorents, Peeter ^{[1
]}

Matsak, Erika ^{[2
]}

机构：

[1] Cooperat Cyber Def Ctr Excellence, Tallinn, Estonia

[2] Tallinn Univ, Inst Informat, EE-10120 Tallinn, Estonia

来源：

IMETI 2010: 3RD INTERNATIONAL MULTI-CONFERENCE ON ENGINEERING AND TECHNOLOGICAL INNOVATION, VOL II (POST-CONFERENCE EDITION) | 2010年

关键词：

Intelligent systems and logical deduction; Natural language text transformation; Dialogue system DST; Relation and similarity; RS-meta-procedure;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

We look at mining inference rules from natural language texts. It is possible to use the DST dialogue system to search for logic formulas and inference rules from natural language texts. In order to explain the extent and reliability of this approach, we use the RS-meta-procedure that was created for system mining.

引用

页码：309 / 314

页数：6