activity
20152023
most citedGraded Entailment for Compositional Distributional Semantics

25 citations · 86 across the 18 of their papers we have counts for

collaborators

20 papers

cs.LO2023★ 1 cited

Proceedings Fifth International Conference on Applied Category Theory

Jade Master, Martha Lewis

The Fifth International Conference on Applied Category Theory took place at the University of Strathclyde in Glasgow, Scotland on 18-22 July 2022. This conference follows the previ…

cs.CV2022★ 7 cited

Does CLIP Bind Concepts? Probing Compositionality in Large Image Models

Martha Lewis, Nihal V. Nayak, Peilin Yu +4

Large-scale neural network models combining text and images have made incredible progress in recent years. However, it remains an open question to what extent such models encode co…

cs.CL2020

Modelling Lexical Ambiguity with Density Matrices

Francois Meyer, Martha Lewis

Words can have multiple senses. Compositional distributional models of meaning have been argued to deal well with finer shades of meaning variation known as polysemy, but are not s…

cs.CL2020★ 4 cited

Cats climb entails mammals move: preserving hyponymy in compositional distributional semantics

Gemma De las Cuevas, Andreas Klingler, Martha Lewis +1

To give vector-based representations of meaning more structure, one approach is to use positive semidefinite (psd) matrices. These allow us to model similarity of words as well as…

cs.CL2020★ 14 cited

Towards logical negation for compositional distributional semantics

Martha Lewis

The categorical compositional distributional model of meaning gives the composition of words into phrases and sentences pride of place. However, it has so far lacked a model of log…

cs.CL2019★ 2 cited

Compositionality for Recursive Neural Networks

Martha Lewis

Modelling compositionality has been a longstanding area of research in the field of vector space semantics. The categorical approach to compositionality maps grammar onto vector sp…

cs.CL2018★ 5 cited

Translating and Evolving: Towards a Model of Language Change in DisCoCat

Tai-Danae Bradley, Martha Lewis, Jade Master +1

The categorical compositional distributional (DisCoCat) model of meaning developed by Coecke et al. (2010) has been successful in modeling various aspects of meaning. However, it f…

cs.CL2018★ 1 cited

Internal Wiring of Cartesian Verbs and Prepositions

Bob Coecke, Martha Lewis, Dan Marsden

Categorical compositional distributional semantics (CCDS) allows one to compute the meaning of phrases and sentences from the meaning of their constituent words. A type-structure c…

cs.CL2018★ 1 cited

Proceedings of the 2018 Workshop on Compositional Approaches in Physics, NLP, and Social Sciences

Martha Lewis, Bob Coecke, Jules Hedges +2

The ability to compose parts to form a more complex whole, and to analyze a whole as a combination of elements, is desirable across disciplines. This workshop bring together resear…

cs.LO2018★ 4 cited

Towards Functorial Language-Games

Jules Hedges, Martha Lewis

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…

cs.LO2017★ 5 cited

Interacting Conceptual Spaces I : Grammatical Composition of Concepts

Joe Bolt, Bob Coecke, Fabrizio Genovese +3

The categorical compositional approach to meaning has been successfully applied in natural language processing, outperforming other models in mainstream empirical language processi…

cs.AI2016

Compositional Distributional Cognition

Yaared Al-Mehairi, Bob Coecke, Martha Lewis

We accommodate the Integrated Connectionist/Symbolic Architecture (ICS) of [32] within the categorical compositional semantics (CatCo) of [13], forming a model of categorical compo…

cs.AI2016★ 12 cited

Interacting Conceptual Spaces

Josef Bolt, Bob Coecke, Fabrizio Genovese +3

We propose applying the categorical compositional scheme of [6] to conceptual space models of cognition. In order to do this we introduce the category of convex relations as a new…

cs.CL2016★ 3 cited

Proceedings of the 2016 Workshop on Semantic Spaces at the Intersection of NLP, Physics and Cognitive Science

Dimitrios Kartsaklis, Martha Lewis, Laura Rimell

This volume contains the Proceedings of the 2016 Workshop on Semantic Spaces at the Intersection of NLP, Physics and Cognitive Science (SLPCS 2016), which was held on the 11th of J…

cs.AI2016★ 1 cited

Harmonic Grammar in a DisCo Model of Meaning

Martha Lewis, Bob Coecke

The model of cognition developed in (Smolensky and Legendre, 2006) seeks to unify two levels of description of the cognitive process: the connectionist and the symbolic. The theory…

cs.AI2016★ 1 cited

Emerging Dimension Weights in a Conceptual Spaces Model of Concept Combination

Martha Lewis, Jonathan Lawry

We investigate the generation of new concepts from combinations of properties as an artificial language develops. To do so, we have developed a new framework for conjunctive concep…

cs.AI2016

The Utility of Hedged Assertions in the Emergence of Shared Categorical Labels

Martha Lewis, Jonathan Lawry

We investigate the emergence of shared concepts in a community of language users using a multi-agent simulation. We extend results showing that negated assertions are of use in dev…

cs.AI2016

A Label Semantics Approach to Linguistic Hedges

Martha Lewis, Jonathan Lawry

We introduce a model for the linguistic hedges `very' and `quite' within the label semantics framework, and combined with the prototype and conceptual spaces theories of concepts.…

cs.CL2016★ 25 cited

Graded Entailment for Compositional Distributional Semantics

Desislava Bankova, Bob Coecke, Martha Lewis +1

The categorical compositional distributional model of natural language provides a conceptually motivated procedure to compute the meaning of sentences, given grammatical structure…

cs.AI2015

A Compositional Explanation of the Pet Fish Phenomenon

Bob Coecke, Martha Lewis

The `pet fish' phenomenon is often cited as a paradigm example of the `non-compositionality' of human concept use. We show here how this phenomenon is naturally accommodated within…