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Vector Space Semantics for Lambek Calculus with Soft Subexponentials

2021/11/22 by Lachlan McPheat, Hadi Wazni, McPheat, Lachlan +3
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Logic, programming, and type systems #Natural Language Processing Techniques #Topic Modeling

paper · pdf · doi:10.48550/arxiv.2111.11331

openalex publication_date 2021/11/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We develop a vector space semantics for Lambek Calculus with Soft Subexponentials, apply the calculus to construct compositional vector interpretations for parasitic gap noun phrases and discourse units with anaphora and ellipsis, and experiment with the constructions in a distributional sentence similarity task. As opposed to previous work, which used Lambek Calculus with a Relevant Modality the calculus used in this paper uses a bounded version of the modality and is decidable. The vector space semantics of this new modality allows us to meaningfully define contraction as projection and provide a linear theory behind what we could previously only achieve via nonlinear maps.

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