Learning Semantic Relationships in Compound Nouns with Connectionist Networks

This paper describes a new approach for understanding compound nouns. Since several approaches have demonstrated the difficulties in finding detailed and suitable semantic relationships within compound nouns, we use only a few basic semantic relationships and provide the system with the additional ability to learn the details of these basic semantic relationships from training examples. Our system is based on a backpropagation architecture and has been trained to understand compound nouns from a scientific technical domain. The test results demonstrated that a conncectionist network is able to learn semantic relationships within compound nouns.

@InProceedings{Wer89, 
 	 author =  {Wermter, Stefan},  
 	 title = {Learning Semantic Relationships in Compound Nouns with Connectionist Networks}, 
 	 booktitle = {Proceedings of the Eleventh Conference of the Cognitive Science Society},
 	 editors = {},
 	 number = {},
 	 volume = {},
 	 pages = {964--971},
 	 year = {1989},
 	 month = {},
 	 publisher = {},
 	 doi = {}, 
 }