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Lambek vs. Lambek: Functorial Vector Space Semantics and String Diagrams for Lambek Calculus

机译:Lambek与Lambek:Functorial向量空间语义和字符串图   对于Lambek微积分

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摘要

The Distributional Compositional Categorical (DisCoCat) model is amathematical framework that provides compositional semantics for meanings ofnatural language sentences. It consists of a computational procedure forconstructing meanings of sentences, given their grammatical structure in termsof compositional type-logic, and given the empirically derived meanings oftheir words. For the particular case that the meaning of words is modelledwithin a distributional vector space model, its experimental predictions,derived from real large scale data, have outperformed other empiricallyvalidated methods that could build vectors for a full sentence. This successcan be attributed to a conceptually motivated mathematical underpinning, byintegrating qualitative compositional type-logic and quantitative modelling ofmeaning within a category-theoretic mathematical framework. The type-logic used in the DisCoCat model is Lambek's pregroup grammar.Pregroup types form a posetal compact closed category, which can be passed, ina functorial manner, on to the compact closed structure of vector spaces,linear maps and tensor product. The diagrammatic versions of the equationalreasoning in compact closed categories can be interpreted as the flow of wordmeanings within sentences. Pregroups simplify Lambek's previous type-logic, theLambek calculus, which has been extensively used to formalise and reason aboutvarious linguistic phenomena. The apparent reliance of the DisCoCat onpregroups has been seen as a shortcoming. This paper addresses this concern, bypointing out that one may as well realise a functorial passage from theoriginal type-logic of Lambek, a monoidal bi-closed category, to vector spaces,or to any other model of meaning organised within a monoidal bi-closedcategory. The corresponding string diagram calculus, due to Baez and Stay, nowdepicts the flow of word meanings.
机译:分布成分分类法(DisCoCat)模型是一种数学框架,为自然语言句子的含义提供成分语义。它由构成句子含义的计算程序组成,根据组成类型逻辑给出了语法结构,并给出了根据经验得出的单词含义。对于在分布向量空间模型中模拟单词含义的特殊情况,其源自真实大规模数据的实验预测优于其他可以为整个句子构建向量的经验验证方法。通过在类别理论数学框架内整合定性组成类型逻辑和意义的定量建模,可以将这一成功归因于概念上有动机的数学基础。 DisCoCat模型中使用的类型逻辑是Lambek的pregroup语法.pregroup类型形成一个姿势紧致封闭类别,可以以函数形式传递给向量空间,线性映射和张量积的紧凑封闭结构。紧凑封闭类别中等式推理的图解形式可以解释为句子中单词含义的流动。预组简化了Lambek以前的类型逻辑,即Lambek演算,该演算已被广泛用于形式化和推理各种语言现象。 DisCoCat对pregroups的明显依赖被视为一个缺点。本文指出了这一问题,指出可能也可以实现从Lambek的原始类型逻辑(单调双封闭类别)到向量空间或单调双闭类别中组织的任何其他意义模型的函数通道。由于Baez和Stay,相应的字符串图演算现在描述了词义的流动。

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