Concept acquisition from corpora: Using an automatic clustering method based on chinese measure words

This paper presents a new concept representation based on measure words. Concepts are modeled as vectors with one component corresponding to each measure word. We propose a weighting scheme that assigns each measure word a weight in a concept. Then we conduct experiments to identify concept similarities via clustering, and the results show measure words can categorize most concept classes*. ? 2008 IEEE.EI