Diarmuid Ó Séaghdha
Semantic classification with WordNet kernels
Diarmuid Ó Séaghdha
This paper presents methods for performing graph-based semantic classification using kernel functions defined on the WordNet lexical hierarchy. These functions are evaluated on the SemEval Task 4 relation classification dataset and their performance is shown to be competitive with that of more complex systems. A number of possible future developments are suggested to illustrate the flexibility of the approach.
@InProceedings{OSeaghdha:09, author = {Diarmuid {\'O S\'eaghdha}}, title = {Semantic classification with {W}ord{N}et kernels}, booktitle = {Proceedings of the NAACL-HLT-09 Short Paper Session}, year = 2009, address = {Boulder, CO} }