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dc.contributor.authorHedges, Jen_US
dc.contributor.authorSadrzadeh, Men_US
dc.date.accessioned2016-07-05T14:46:01Z
dc.date.submitted2016-06-01T09:31:58.101Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/13266
dc.description.abstractCategorical compositional distributional semantics is a model of natural language; it combines the statistical vector space models of words with the compositional models of grammar. We formalise in this model the generalised quantifier theory of natural language, due to Barwise and Cooper. The underlying setting is a compact closed category with bialgebras. We start from a generative grammar formalisation and develop an abstract categorical compositional semantics for it, then instantiate the abstract setting to sets and relations and to finite dimensional vector spaces and linear maps. We prove the equivalence of the relational instantiation to the truth theoretic semantics of generalised quantifiers. The vector space instantiation formalises the statistical usages of words and enables us to, for the first time, reason about quantified phrases and sentences compositionally in distributional semantics.en_US
dc.rightsarXiv record http://arxiv.org/abs/1602.01635
dc.subjectcs.CLen_US
dc.subjectcs.CLen_US
dc.subjectcs.AIen_US
dc.subjectmath.CTen_US
dc.subjectcs.CL, cs.AI, math.CTen_US
dc.subjectI.2.7en_US
dc.titleA Generalised Quantifier Theory of Natural Language in Categorical Compositional Distributional Semantics with Bialgebrasen_US
dc.typeArticle
pubs.author-urlhttp://arxiv.org/abs/1602.01635v2en_US
pubs.notesNot knownen_US


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