一元范畴的自治化

Antonin Delpeuch
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引用次数: 14

摘要

我们表明,与DisCoCat社区的普遍信念相反,一个一元类别是定义自然语言的分类组合模型所需要的全部。这依赖于一个构造,它可以自由地向一元范畴添加伴随。在分布式语义的情况下,这扩大了可用模型的范围,例如包括非线性映射和笛卡尔积。我们举例说明了这一原则在各种意义分布模型中的应用。
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Autonomization of Monoidal Categories
We show that contrary to common belief in the DisCoCat community, a monoidal category is all that is needed to define a categorical compositional model of natural language. This relies on a construction which freely adds adjoints to a monoidal category. In the case of distributional semantics, this broadens the range of available models, to include non-linear maps and cartesian products for instance. We illustrate the applications of this principle to various distributional models of meaning.
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