Which Length for a Multi-Level View of Context for Word Sense Disambiguation?

The approach we present in this paper for Word Sense Disambiguation (WSD) is based on combination of different views of the context. Semantic Classification Trees (SCT) are employed over a short and a multi-level view of context, including rough semantic features, while a similarity measure is used in some particular cases to rely on a larger view of the context.