Building a semantically transparent corpus for the generation of referring expressions

Kees van Deemter, Ielka van der Sluis, A. Gatt

    OnderzoeksoutputAcademicpeer review

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    This paper discusses the construction of
    a corpus for the evaluation of algorithms
    that generate referring expressions. It is
    argued that such an evaluation task requires
    a semantically transparent corpus,
    and controlled experiments are the best
    way to create such a resource. We address
    a number of issues that have arisen in an
    ongoing evaluation study, among which is
    the problem of judging the output of GRE
    algorithms against a human gold standard.
    Originele taal-2English
    TitelProceedings of the 4th International Conference on Natural Language Generation (Special Session on Data Sharing and Evaluation), INLG-06.
    Plaats van productieSidney, Australia
    StatusPublished - 2006

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