The paper examines different possibilities to take advantage of the taxonomic organization of a thesaurus to improve the accuracy of classifying new words into its classes. The results of the study demonstrate that taxonomic similarity between nearest neighbors, in addition to their distributional similarity to the new word, may be useful evidence on which classification decision can be based.
REF take advantage of a taxonomic thesaurus (a tourism-domain ontology) to improve the accuracy of classifying new words into its classes.
Taxonomy Learning - Factoring The Structure Of A Taxonomy Into A Semantic Classification Decision
International Conference On Computational Linguistics
Computer Science