A Diagrammatic Calculus for a Functional Model of Natural Language Semantics

Boyer, Matthieu Pierre

arXiv.org Artificial Intelligence 

In this paper, we study a functional programming approach to natural language semantics, allowing us to increase the expressiveness of a more traditional denotation style. We will formalize a category based type and effect system to represent the semantic difference between syntactically equivalent expressions. We then construct a diagrammatic calculus to model parsing and handling of effects, providing a method to efficiently compute the denotations for sentences.

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