Title
Creating Contract Templates for Car Insurance Using Multi-agent Based Text Understanding and Clustering
Abstract
The paper discusses the problem of automated processing and classification of unstructured text and proposes a new approach based on the multi-agent technology. The proposed method was successfully used to develop a system for a large UK insurance company capable of analysing and classifying 25000 documents related to car insurance, as well as creating template contract documents. The paper describes the system, presents testing results and discusses perspectives.
Year
DOI
Venue
2007
10.1007/978-3-540-74481-8_34
HoloMAS
Keywords
Field
DocType
automated processing,text understanding,discusses perspective,car insurance,template contract document,new approach,creating contract templates,unstructured text,multi-agent technology,large uk insurance company,semantic network,classification,clustering,data mining,text mining
Data science,Text mining,Template,Engineering,Cluster analysis
Conference
Volume
ISSN
Citations 
4659
0302-9743
8
PageRank 
References 
Authors
0.90
4
4
Name
Order
Citations
PageRank
Igor Minakov1111.71
George Rzevski26912.37
Petr Skobelev311824.61
Simon Volman4111.71