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.
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APA
Shi, S., Liu, X., & Wen, J. R. (2008). Pattern-based semantic class discovery with multi-membership support. In International Conference on Information and Knowledge Management, Proceedings (pp. 1453–1454). https://doi.org/10.1145/1458082.1458329
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