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- W2189408051 abstract "In this dissertation I present a framework for using density matrices instead of vectors in a distributional model of meaning. I present an asymmetric similarity measure between two density matrix representations based on relative entropy and show that this measure can be used for hyponymy-hypernymy relations. It is possible to compose density matrix representations of words to get a density matrix representation of a sentence. This map respects the generality of individual words in a sentence, taking sentences with more general words to more general sentence representations." @default.
- W2189408051 created "2016-06-24" @default.
- W2189408051 creator A5060801344 @default.
- W2189408051 date "2014-01-01" @default.
- W2189408051 modified "2023-09-26" @default.
- W2189408051 title "Using Density Matrices in a Compositional Distributional Model of Meaning" @default.
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