We provide an overview of the hybrid compositional distributional model of meaning, developed in Coecke et al. (arXiv:1003.4394v1 [cs.CL]), which is based on the categorical methods also applied to the analysis of information flow in quantum protocols. The mathematical setting stipulates that the meaning of a sentence is a linear function of the tensor products of the meanings of its words. We provide concrete constructions for this definition and present techniques to build vector spaces for meaning vectors of words, as well as that of sentences. The applicability of these methods is demonstrated via a toy vector space as well as real data from the British National Corpus and two disambiguation experiments
International audienceMost compositional distributional semantic models represent sentence meaning w...
International audienceMost compositional distributional semantic models represent sentence meaning w...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
Abstract. We provide an overview of the hybrid compositional distribu-tional model of meaning, devel...
We propose a mathematical framework for a unification of the distribu-tional theory of meaning in te...
This survey presents in some detail the main advances that have been recently taking place in Comput...
Formal semantics and distributional semantics offer complementary strengths in capturing the meaning...
This thesis is about the problem of compositionality in distributional semantics. Distributional sem...
The categorical compositional distributional model of natural language provides a conceptually motiv...
This thesis is about the problem of compositionality in distributional semantics. Distributional sem...
This thesis is about the problem of representing sentential meaning in distributional semantics. Dis...
Modelling compositional meaning for sentences using empirical distributional methods has been a chal...
The question of how to compose meaning in distributional representations of meaning has recently bee...
Modelling compositional meaning for sentences using empirical distributional methods has been a chal...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
International audienceMost compositional distributional semantic models represent sentence meaning w...
International audienceMost compositional distributional semantic models represent sentence meaning w...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
Abstract. We provide an overview of the hybrid compositional distribu-tional model of meaning, devel...
We propose a mathematical framework for a unification of the distribu-tional theory of meaning in te...
This survey presents in some detail the main advances that have been recently taking place in Comput...
Formal semantics and distributional semantics offer complementary strengths in capturing the meaning...
This thesis is about the problem of compositionality in distributional semantics. Distributional sem...
The categorical compositional distributional model of natural language provides a conceptually motiv...
This thesis is about the problem of compositionality in distributional semantics. Distributional sem...
This thesis is about the problem of representing sentential meaning in distributional semantics. Dis...
Modelling compositional meaning for sentences using empirical distributional methods has been a chal...
The question of how to compose meaning in distributional representations of meaning has recently bee...
Modelling compositional meaning for sentences using empirical distributional methods has been a chal...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...
International audienceMost compositional distributional semantic models represent sentence meaning w...
International audienceMost compositional distributional semantic models represent sentence meaning w...
This paper proposes two approaches to compositional semantics in distributional semantic spaces. Bo...