GRAPH: The Costs of Redundancy in Referring Expressions

Emiel Krahmer, Mariet Theune, Jette Viethen, Iris Hendrickx

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

    10 Citations (Scopus)
    25 Downloads (Pure)

    Abstract

    We describe a graph-based generation system that participated in the TUNA attribute selection and realisation task of the REG 2008 Challenge. Using a stochastic cost function (with certain properties for free), and trying attributes from cheapest to more expensive, the system achieves overall .76 DICE and .54 MASI scores for attribute selection on the development set. For realisation, it turns out that in some cases higher attribute selection accuracy leads to larger differences between system-generated and human descriptions.
    Original languageUndefined
    Title of host publicationProceedings of the 5th International Natural Language Generation Conference (INLG 2008)
    Place of PublicationUSA
    PublisherAssociation for Computational Linguistics (ACL)
    Pages227-229
    Number of pages3
    ISBN (Print)not assigned
    Publication statusPublished - Jun 2008

    Publication series

    Name
    PublisherThe Association for Computational Linguistics
    NumberDTR08-9

    Keywords

    • EWI-13092
    • IR-64885
    • METIS-251092

    Cite this

    Krahmer, E., Theune, M., Viethen, J., & Hendrickx, I. (2008). GRAPH: The Costs of Redundancy in Referring Expressions. In Proceedings of the 5th International Natural Language Generation Conference (INLG 2008) (pp. 227-229). USA: Association for Computational Linguistics (ACL).