This paper demonstrates that mathematical models for measuring semantic similarity between concepts can be used to improve the learning of hyponymy relationships between concepts from free text.
we show that latent semantic analysis can be used to filter results, giving an increase in precision, and that neighbors in a graph built from coordination information can be used to improve recall.