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Title: The attribute selection for GRE challenge : overview and evaluation results
Authors: Belz, Anja
Gatt, Albert
Keywords: Natural language processing (Computer science)
Corpora (Linguistics)
Issue Date: 2007
Publisher: European Association for Machine Translation
Citation: Belz, A., & Gatt, A. (2007). The attribute selection for GRE challenge: overview and evaluation results. Machine Translation Summit XI, Copenhagen. 75-83.
Abstract: The Attribute Selection for Generating Referring Expressions (ASGRE) Challenge was the first shared-task evaluation challenge in the field of Natural Language Generation. Six teams submitted a total of 22 systems. All submitted systems were tested automatically for minimality, uniqueness and ‘humanlikeness’. In addition, the output of 15 systems was tested in a task-based experiment where subjects were asked to identify referents, and the speed and accuracy of identification was measured. This report describes the ASGRE task and the five evaluation methods, gives brief overviews of the participating systems, and presents the evaluation results.
ISBN: 9788790708160
Appears in Collections:Scholarly Works - InsLin

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