Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
A graph model for unsupervised lexical acquisition
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
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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.