14 citations · 20 across the 3 of their papers we have counts for
8 papers
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…
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…
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…
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…
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…
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…