Semantic Composition with Quotient Algebras

D. Clarke, R. Lutz, D. Weir

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Abstract

    We describe an algebraic approach for computing with vector based semantics. The tensor product has been proposed as a method of composition, but has the undesirable property that strings of different length are incomparable. We consider how a quotient algebra of the tensor algebra can allow such comparisons to be made, offering the possibility of data-driven models of semantic composition.
    Original languageEnglish
    Title of host publicationProcs of Geometric Models of Natural Language Semantics
    Subtitle of host publicationGEMS-2010
    Pages38-44
    Publication statusPublished - 2010

    Keywords

    • linguistics
    • vector-based semantics
    • tensor algebra

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