Pattern-based semantic class discovery with multi-membership support

A semantic class is a collection of items (words or phrases) sharing common semantic properties. This paper proposes an approach to constructing one or multiple semantic classes for an input item. Two challenges are addressed: multi-membership, and noise-tolerance.