The use of situation theory in context modeling

被引：39
|
作者：
Akman, V
Surav, M
机构：
[1] NEWNET INC, SHELTON, CT 06484 USA
[2] BILKENT UNIV, DEPT COMP ENGN & INFORMAT SCI, TR-06533 ANKARA, TURKEY
来源：
COMPUTATIONAL INTELLIGENCE | 1997年 / 13卷 / 03期
关键词：
context; lifting; knowledge representation; commonsense reasoning; natural language processing; situation theory;
D O I：
10.1111/0824-7935.00046
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
At the heart of natural language processing is the understanding of context dependent meanings. This paper presents a preliminary model of formal contexts based on situation theory. It also gives a worked-out example to show the use of contexts in lifting, i.e., how propositions holding in a particular context transform when they are moved to another context. This is useful in NLP applications where preserving meaning is a desideratum.
引用
收藏
页码：427 / 438
页数：12
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