KNOWLEDGE REPRESENTATION FOR NATURAL-LANGUAGE PROCESSING

被引：0
|
作者：
PLETAT, U
机构：
来源：
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | 1992年 / 636卷
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We give an overview of the typed predicate logic L(LILOG) which serves as the target language for translating the information provided in German texts into machine processible form. Being part of the natural language understanding system LEU/2, the knowledge representation system built around L(LILOG) serves different purposes. Its knowledge engineering environment has been used for modeling the semantical backgound knowledge for the application domain of LEU/2. The inference engine implementing L(LILOG) is a flexible theorem prover for processing the information extracted from natural language texts.
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页码：231 / 241
页数：11
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