Concept Acquisition from Corpora: Using an Automatic Clustering Method Based on Chinese Measure Words

摘要

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.