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We give a natural-deduction-style type theory for symmetric monoidal categories whose judgmental structure directly represents morphisms with tensor products in their codomain as well as their domain. The syntax is inspired by Sweedler…

Category Theory · Mathematics 2021-07-13 Michael Shulman

Traditional semantic parsers map language onto compositional, executable queries in a fixed schema. This mapping allows them to effectively leverage the information contained in large, formal knowledge bases (KBs, e.g., Freebase) to answer…

Computation and Language · Computer Science 2016-11-30 Matt Gardner , Jayant Krishnamurthy

An important property of programming language semantics is that they should be compositional. However, unstructured low-level code contains goto-like commands making it hard to define a semantics that is compositional. In this paper, we…

Programming Languages · Computer Science 2015-03-18 Nils Jähnig , Thomas Göthel , Sabine Glesner

We discuss an extension of the standard logical rules (functional application and abstraction) in Categorial Grammar (CG), in order to deal with some specific cases of polysemy. We borrow from Generative Lexicon theory which proposes the…

cmp-lg · Computer Science 2016-08-31 Anne-Marie Mineur , Paul Buitelaar

We study the compactness of composition operators on the Bergman spaces of certain bounded pseudoconvex domains in $\mathbb{C}^n$ with non-trivial analytic disks contained in the boundary. As a consequence we characterize that compactness…

Complex Variables · Mathematics 2020-06-12 Timothy G. Clos

Different from previous surveys in semantic parsing (Kamath and Das, 2018) and knowledge base question answering(KBQA)(Chakraborty et al., 2019; Zhu et al., 2019; Hoffner et al., 2017) we try to takes a different perspective on the study of…

Computation and Language · Computer Science 2021-08-23 Pawan Kumar , Srikanta Bedathur

While there have been extensive studies regarding the theory of composition operators in standard Bergman spaces, there have not been many results pertaining to large Bergman spaces due to a lack of useful tools. In this paper, we give the…

Functional Analysis · Mathematics 2019-09-23 Inyoung Park

According to the distributional inclusion hypothesis, entailment between words can be measured via the feature inclusions of their distributional vectors. In recent work, we showed how this hypothesis can be extended from words to phrases…

Computation and Language · Computer Science 2016-10-17 Dimitri Kartsaklis , Mehrnoosh Sadrzadeh

Lexical Semantics is concerned with how words encode mental representations of the world, i.e., concepts . We call this type of concepts, classification concepts . In this paper, we focus on Visual Semantics , namely on how humans build…

Artificial Intelligence · Computer Science 2021-09-15 Fausto Giunchiglia , Luca Erculiani , Andrea Passerini

Distributional word representation methods exploit word co-occurrences to build compact vector encodings of words. While these representations enjoy widespread use in modern natural language processing, it is unclear whether they accurately…

Computation and Language · Computer Science 2017-06-01 Li Lucy , Jon Gauthier

We study composition operators whose symbols are suitable perturbations of the identity and which act between different weighted modulation classes. We consider both modulation spaces formed by tempered distributions and those whose…

Functional Analysis · Mathematics 2025-12-18 Héctor Ariza , Carmen Fernández , Antonio Galbis

We study a categorical condition on relations, which is a categorical formulation of J\'onsson's characterisation of congruence distributive varieties. Categories satisfying these conditions need not be varieties; for instance, the dual of…

Category Theory · Mathematics 2024-01-11 Michael Hoefnagel , Diana Rodelo

We propose a categorial grammar based on classical multiplicative linear logic. This can be seen as an extension of abstract categorial grammars (ACG) and is at least as expressive. However, constituents of {\it linear logic grammars (LLG)}…

Logic · Mathematics 2020-08-04 Sergey Slavnov

The focus of the papers presented in this volume is on the interplay between syntax and semantics in case of languages, namely the central question of what a program means and how it does define the intended procedure. This is a crucial…

Logic in Computer Science · Computer Science 2013-09-05 Ugo de'Liguoro , Alexis Saurin

Words (phrases or symbols) play a key role in human life. Word (phrase or symbol) representation is the fundamental problem for knowledge representation and understanding. A word (phrase or symbol) usually represents a name of a category.…

Artificial Intelligence · Computer Science 2015-12-07 Jian Yu

The present work presents some results about the categorial relation between logics and its categories of structures. A (propositional, finitary) logic is a pair given by a signature and Tarskian consequence relation on its formula algebra.…

Category Theory · Mathematics 2016-03-04 Darllan Conceição Pinto , Hugo Luiz Mariano

Formal semantics and distributional semantics are distinct approaches to linguistic meaning: the former models meaning as reference via model-theoretic structures; the latter represents meaning as vectors in high-dimensional spaces shaped…

Logic · Mathematics 2026-02-04 Daniel Quigley

In this paper we study the complex symmetry in the several variable Fock space by using the techniques of weighted composition operators and semigroups. We characterize unbounded weighted composition operators that are (real) complex…

Functional Analysis · Mathematics 2023-12-11 Pham Viet Hai , Pham Trong Tien

Techniques from higher categories and higher-dimensional rewriting are becoming increasingly important for understanding the finer, computational properties of higher algebraic theories that arise, among other fields, in quantum…

Category Theory · Mathematics 2017-01-04 Amar Hadzihasanovic

The categorical distribution is a natural representation of uncertainty in multi-class segmentations. In the two-class case the categorical distribution reduces to the Bernoulli distribution, for which grayscale morphology provides a range…

Computer Vision and Pattern Recognition · Computer Science 2022-01-11 Silas Nyboe Ørting , Hans Jacob Teglbjærg Stephensen , Jon Sporring