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- W2086156645 abstract "Referring expression generation has recently been the subject of the first Shared Task Challenge in NLG. In this paper, we analyse the systems that participated in the Challenge in terms of their algorithmic properties, comparing new techniques to classic ones, based on results from a new human task-performance experiment and from the intrinsic measures that were used in the Challenge. We also consider the relationship between different evaluation methods, showing that extrinsic task-performance experiments and intrinsic evaluation methods yield results that are not significantly correlated. We argue that this highlights the importance of including extrinsic evaluation methods in comparative NLG evaluations." @default.
- W2086156645 created "2016-06-24" @default.
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- W2086156645 date "2008-01-01" @default.
- W2086156645 modified "2023-09-26" @default.
- W2086156645 title "Attribute selection for referring expression generation" @default.
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- W2086156645 doi "https://doi.org/10.3115/1708322.1708333" @default.
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