Meaning in Context

Henning Christiansen, Veronica Dahl

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

    Abstract

    A model for context-dependent natural language semantics is proposed and formalized in terms of possible worlds. The meaning of a sentence depends on context and at the same time affects that context representing the knowledge about the world collected from a discourse. The model fits well with a "flat" semantic representation as first proposed by Hobbs (1985), consisting basically of a conjunction of atomic predications in which all variables are existentially quantified with the widest possible scope; in our framework, this provides very concise semantic terms as compared with other representations. There is a natural correspondence between the possible world semantics and a constraint solver, and it is shown how such a semantics can be defined using the programming language of Constraint Handling Rules (Frühwirth, 1995). Discourse analysis is clearly a process of abduction in this framework, and it is shown that the mentioned constraint solvers serve as effective and efficient abductive engines for the purpose.
    OriginalsprogEngelsk
    TitelProc. CONTEXT'05, the Fourth International and Interdisciplinary Conference on Modeling and Using Context
    RedaktørerAnind Dey, Boicho Kokinov, David Leake, Roy Turner
    ForlagKluwer Academic Publishers
    Publikationsdato2005
    Sider97-111
    ISBN (Trykt)3-540-26924-X
    StatusUdgivet - 2005
    BegivenhedCONTEXT'05, the Fourth International and Interdisciplinary Conference on Modeling and Using Context - Paris, Frankrig
    Varighed: 5 jul. 20058 jul. 2005
    Konferencens nummer: 4

    Konference

    KonferenceCONTEXT'05, the Fourth International and Interdisciplinary Conference on Modeling and Using Context
    Nummer4
    Land/OmrådeFrankrig
    ByParis
    Periode05/07/200508/07/2005
    NavnLecture Notes in Computer Science
    Vol/bind3554
    ISSN0302-9743

    Bibliografisk note

    Lecture Notes in Artificial Intelligence

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