Domain-Specific Semantic Class Disambiguation Using WordNet
Li Shiuau Peh · 1997
This paper presents an approach which exploits general-purpose algori.t~m ~ and resources for domain-specific semantic class dis~mhiguation, thus facilitating the generalization of semautic patterns fTom word-based to class-based representations. Through the mapping of the donza£uspecific semantic hierarchy onto Word-Net and the application of general-purpose word sense disambiguation and semantic distance metrics, the approach proposes a portable, wide-coverage method for disambiguating semantic classes. Unlike existing methods, the approach does not require annotated corpora. When tested on the MUC-4 terrorism domain, the approach is shown to outperform the most frequent heuristic substan~lly and achieve comparable accuracy with human judges. Its p~fo£~ance also compares favourably with two supervised learning algorithm.q. 1