Monads for natural language semantics
Chung-chieh Shan (Harvard University)
TL;DR
This paper explores how monads can be used to uniformly and compositionally model various semantic phenomena in natural language, such as intensionality and quantification.
Contribution
It introduces a monadic framework that unifies and simplifies the treatment of complex semantic phenomena in natural language.
Findings
Monads provide a uniform approach to semantic phenomena.
The framework simplifies the composition rules for semantics.
It demonstrates the applicability of monads to natural language semantics.
Abstract
Accounts of semantic phenomena often involve extending types of meanings and revising composition rules at the same time. The concept of monads allows many such accounts -- for intensionality, variable binding, quantification and focus -- to be stated uniformly and compositionally.
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Taxonomy
TopicsLogic, programming, and type systems · Logic, Reasoning, and Knowledge · Semantic Web and Ontologies