Lexical categorical disambiguation using a multi-agent systems architecture

被引：1
|
作者：
da Silva, JLT [1 ]
de Lima, VLS [1 ]
机构：
[1] Pontificia Univ Catolica Rio Grande Sul, Inst Informat, Terreo Porto Alegre, RS, Brazil
来源：
INTERNATIONAL CONFERENCE ON MULTI-AGENT SYSTEMS, PROCEEDINGS | 1998年
关键词：
D O I：
10.1109/ICMAS.1998.699241
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this work we present a distributed architecture model for lexical categorical disambiguation based on Multi-Agent Systems. This proposal aims to minimize some shortcomings from sequential approaches to natural language processing systems, through cooperation among intelligent and distributed modules. We have proposed a model for a linguistic society of agents which includes linguistic knowledge as well as a set of procedures to manipulate it, and mechanisms for social reasoning The disambiguation is solved by a subsociety of acquaintance agents that use a communication protocol based on cooperative learning in order to reach a common goal.
引用
收藏
页码：417 / 418
页数：2
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