Word classification based on combined measures of distributional and semantic similarity
Viktor Pekar, Steffen Staab · 2003
The paper addresses the problem of automatic enrichment of a thesaurus by classifying new words into its classes. The proposed classification method makes use of both the distributional data about a new word and the strength of the semantic relatedness of its target class to other likely candidate classes.