Reducing the Granularity of a Computational Lexicon via an Automatic Mapping to a Coarse-Grained Sense Inventory
Roberto Navigli · 2006
WordNet is the reference sense inventory of most of the current Word Sense Disambiguation systems.Unfortunately, it encodes too fine-grained distinctions, making it difficult even for humans to solve the ambiguity of words in context.In this paper, we present a method for reducing the granularity of the WordNet sense inventory based on the mapping to a manually crafted dictionary encoding sense groups, namely the Oxford Dictionary of English.We assess the quality of the mapping and discuss the potential of the method.