8 research outputs found

    The TUNA-REG challenge 2009 : overview and evaluation results

    Get PDF
    The TUNA-REGā€™09 Challenge was one of the shared-task evaluation competitions at Generation Challenges 2009. TUNAREGā€™ 09 used data from the TUNA Corpus of paired representations of entities and human-authored referring expressions. The shared task was to create systems that generate referring expressions for entities given representations of sets of entities and their properties. Four teams submitted six systems to TUNAREGā€™ 09. We evaluated the six systems and two sets of human-authored referring expressions using several automatic intrinsic measures, a human-assessed intrinsic evaluation and a human task performance experiment. This report describes the TUNAREG task and the evaluation methods used, and presents the evaluation results.peer-reviewe

    Beyond DICE : measuring the quality of a referring expression

    Get PDF
    This paper discusses ways in which the similarity between the contents of two referring expressions can be measured. Simi- larity metrics of this kind are essential when expressions gen- erated by an algoritm are compared against the ones produced by human speakers, for example as part of an experiment in which referring expressions are elicitated. We discuss argu- ments for and against different metrics, taking our departure from the well-known Dice metric.peer-reviewe

    The D-TUNA Corpus:A Dutch dataset for the evaluation of referring expression generation algorithms

    Get PDF

    Reference and the facilitation of search in spatial domains

    Get PDF
    This is a pre-final version of the article, whose official publication is expected in the winter of 2013-14.Peer reviewedPreprin

    Proceedings of the 12th European Workshop on Natural Language Generation (ENLG 2009)

    Get PDF

    The TUNA-REG Challenge 2009: Overview and Evaluation Results

    No full text
    The TUNA-REGā€™09 Challenge was one of the shared-task evaluation competitions at Generation Challenges 2009. TUNA-REGā€™09 used data from the TUNA Corpus of paired representations of entities and human-authored referring expressions. The shared task was to create systems that generate referring expressions for entities given representations of sets of entities and their properties. Four teams submitted six systems to TUNA-REGā€™09. We evaluated the six systems and two sets of human-authored referring expressions using several automatic intrinsic measures, a human-assessed intrinsic evaluation and a human task performance experiment. This report describes the TUNA-REG task and the evaluation methods used, and presents the evaluation results.
    corecore