Incremental Generation of Plural Descriptions: Similarity and Partitioning

نویسندگان

  • Albert Gatt
  • Kees van Deemter
چکیده

Approaches to plural reference generation emphasise simplicity and brevity, but often lack empirical backing. This paper describes a corpusbased study of plural descriptions, and proposes a psycholinguistically-motivated algorithm for plural reference generation. The descriptive strategy is based on partitioning. An exhaustive evaluation shows that the output closely matches human data.

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تاریخ انتشار 2007