Pattern-based semantic class discovery with multi-membership support

Authors:
Shuming Shi;Xiaokang Liu;Ji-Rong Wen
Affiliations:
Microsoft Research Asia, Beijing, China;Tsinghua University, Beijing, China;Microsoft Research Asia, Beijing, China
Venue:
Proceedings of the 17th ACM conference on Information and knowledge management
Year:
2008

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Abstract

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.