Incremental Generation of Plural Descriptions: Similarity and Partitioning

Albert Gatt, Kees van Deemter · OAR@UM (University of Malta) · 2007

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

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