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Temporal grounding is the task of locating a specific segment from an untrimmed video according to a query sentence. This task has achieved significant momentum in the computer vision community as it enables activity grounding beyond…

Computer Vision and Pattern Recognition · Computer Science 2023-05-16 Juncheng Li , Siliang Tang , Linchao Zhu , Wenqiao Zhang , Yi Yang , Tat-Seng Chua , Fei Wu , Yueting Zhuang

Distributional compositional (DisCo) models are functors that compute the meaning of a sentence from the meaning of its words. We show that DisCo models in the category of sets and relations correspond precisely to relational databases. As…

Computation and Language · Computer Science 2020-09-16 Giovanni de Felice , Konstantinos Meichanetzidis , Alexis Toumi

Compositional data are commonly known as multivariate observations carrying relative information. Even though the case of vector or even two-factorial compositional data (compositional tables) is already well described in the literature,…

Methodology · Statistics 2022-01-26 Kamila Fačevicová , Peter Filzmoser , Karel Hron

Compositionality of denotational semantics is an important concern in programming semantics. Mathematical operational semantics in the sense of Turi and Plotkin guarantees compositionality, but seen from the point of view of stateful…

Logic in Computer Science · Computer Science 2022-05-12 Sergey Goncharov , Stefan Milius , Lutz Schröder , Stelios Tsampas , Henning Urbat

We design a new technique for the distributional semantic modeling with a neural network-based approach to learn distributed term representations (or term embeddings) - term vector space models as a result, inspired by the recent…

Computation and Language · Computer Science 2022-01-04 Oleksandr Palagin , Vitalii Velychko , Kyrylo Malakhov , Oleksandr Shchurov

This is a review article on modular categories, extending an invited talk given at the workshop "Categorical (co)algebraic methods in quantum informatics and linguistics", Oxford, October 29-31, 2010. To appear in C. Heunen, M. Sadrzadeh,…

Category Theory · Mathematics 2012-02-21 Michael Mueger

The Linguistic Matrix Theory programme introduced by Kartsaklis, Ramgoolam and Sadrzadeh is an approach to the statistics of matrices that are generated in type-driven distributional semantics, based on permutation invariant polynomial…

Computation and Language · Computer Science 2023-09-27 Manuel Accettulli Huber , Adriana Correia , Sanjaye Ramgoolam , Mehrnoosh Sadrzadeh

In this introductory article we present the basics of an approach to implementing computational interpreting of natural language aiming to model the meanings of words and phrases. Unlike other approaches, we attempt to define the meanings…

Computation and Language · Computer Science 2019-08-12 Michael Kapustin , Pavlo Kapustin

Compact closed categories have found applications in modeling quantum information protocols by Abramsky-Coecke. They also provide semantics for Lambek's pregroup algebras, applied to formalizing the grammatical structure of natural…

Computation and Language · Computer Science 2014-05-13 Dimitri Kartsaklis , Mehrnoosh Sadrzadeh , Stephen Pulman , Bob Coecke

We review recent progress in operator algebraic approach to conformal quantum field theory. Our emphasis is on use of representation theory in classification theory. This is based on a series of joint works with R. Longo.

Mathematical Physics · Physics 2007-05-23 Yasuyuki Kawahigashi

In categorical compositional semantics of natural language one studies functors from a category of grammatical derivations (such as a Lambek pregroup) to a semantic category (such as real vector spaces). We compositionally build…

Logic in Computer Science · Computer Science 2018-11-09 Jules Hedges , Martha Lewis

Systematic compositionality is the ability to recombine meaningful units with regular and predictable outcomes, and it's seen as key to humans' capacity for generalization in language. Recent work has studied systematic compositionality in…

Computation and Language · Computer Science 2018-07-20 João Loula , Marco Baroni , Brenden M. Lake

We provide a Lawvere-style definition for partial theories, extending the classical notion of equational theory by allowing partially defined operations. As in the classical case, our definition is syntactic: we use an appropriate class of…

Logic in Computer Science · Computer Science 2020-11-16 Ivan Di Liberti , Fosco Loregian , Chad Nester , Paweł Sobociński

Natural language is characterized by compositionality: the meaning of a complex expression is constructed from the meanings of its constituent parts. To facilitate the evaluation of the compositional abilities of language processing…

Computation and Language · Computer Science 2020-10-13 Najoung Kim , Tal Linzen

By capturing statistical patterns in large corpora, machine learning has enabled significant advances in natural language processing, including in machine translation, question answering, and sentiment analysis. However, for agents to…

Artificial Intelligence · Computer Science 2018-07-25 Igor Mordatch , Pieter Abbeel

Many theories of semantic interpretation use lambda-term manipulation to compositionally compute the meaning of a sentence. These theories are usually implemented in a language such as Prolog that can simulate lambda-term operations with…

cmp-lg · Computer Science 2008-02-03 Seth Kulick

This paper provides a method for improving tensor-based compositional distributional models of meaning by the addition of an explicit disambiguation step prior to composition. In contrast with previous research where this hypothesis has…

Computation and Language · Computer Science 2014-08-28 Dimitri Kartsaklis , Nal Kalchbrenner , Mehrnoosh Sadrzadeh

A desired but challenging property of compiler verification is compositionality, in the sense that the compilation correctness of a program can be deduced incrementally from that of its substructures ranging from statements, functions, and…

Programming Languages · Computer Science 2026-03-31 Zhang Cheng , Jiyang Wu , Di Wang , Qinxiang Cao

Defining words in a textual context is a useful task both for practical purposes and for gaining insight into distributed word representations. Building on the distributional hypothesis, we argue here that the most natural formalization of…

Computation and Language · Computer Science 2019-11-14 Timothee Mickus , Denis Paperno , Mathieu Constant

Semantic communication is an emerging research area that has gained a wide range of attention recently. Despite this growing interest, there remains a notable absence of a comprehensive and widely-accepted framework for characterizing…

Information Theory · Computer Science 2025-09-03 Yulin Shao , Qi Cao , Deniz Gunduz
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