Chinese Word Sense Disambiguation Based on Lexical Semantic Ontology

This paper describes preliminary works of word sense disambiguation on Chinese verbs using the information derived from lexical semantic ontology (LSO). In spite of sophisticated methods, simple algorithm is employed to underline the characters of the features chosen from LSO data. Several groups of tests are designed to find different effects of the features and other aspects. Some promising results are gotten from the prime tests on nine Chinese ambiguous verbs. The results show what informative features the LSO provides and the potential improving ways.