文章基本信息

标题：Computational Generation of Referring Expressions: A Survey
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作者：Emiel Krahmer ; Kees van Deemter
期刊名称：Computational Linguistics
印刷版ISSN：0891-2017
电子版ISSN：1530-9312
出版年度：2012
卷号：38
期号：1
页码：173-218
DOI：10.1162/COLI_a_00088
语种：English
出版社：MIT Press
摘要：This article offers a survey of computational research on referring expression generation (REG). It introduces the REG problem and describes early work in this area, discussing what basic assumptions lie behind it, and showing how its remit has widened in recent years. We discuss computational frameworks underlying REG, and demonstrate a recent trend that seeks to link REG algorithms with well-established Knowledge Representation techniques. Considerable attention is given to recent efforts at evaluating REG algorithms and the lessons that they allow us to learn. The article concludes with a discussion of the way forward in REG, focusing on references in larger and more realistic settings.