摘要：The categorical compositional distributional model of natural language provides a conceptually motivated procedure to compute the meaning of a sentence,given its grammatical structure and the mean_ings of its words.This approach has outperformed other models in mainstream empirical language processing tasks,but lacks an effec_tive model of lexical entailment.We address this shortcoming by ex?ploiting the freedom in our abstract categorical framework to change our choice of semantic model.This allows us to describe hyponymy as a graded order on meanings,using models of partial information used in quantum computation.Quantum logic embeds in this graded order.
