Neural Network Agents for Learning Semantic Text Classification

The research project AgNeT develops Agents for Neural Text routing in the internet. Unrestricted potentially faulty text messages arrive at a certain delivery point (e.g. email address or world wide web address). These text messages are scanned and then distributed to one of several expert agents according to a certain task criterium. Possible specific scenarios within this framework include the learning of the routing of publication titles or news titles. In this paper we describe extensive experiments for semantic text routing based on classified library titles and newswire titles.

@Article{Wer00a, 
 	 author =  {Wermter, Stefan},  
 	 title = {Neural Network Agents for Learning Semantic Text Classification}, 
 	 journal = {Information Retrieval},
 	 number = {2},
 	 volume = {3},
 	 pages = {87--103},
 	 year = {2000},
 	 month = {Oct},
 	 publisher = {Springer},
 	 doi = {10.1023/A:1009942513170}, 
 }