Computational Generation of Referring Expressions: A Survey
Computational Generation of Referring Expressions: A Survey
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DOI：
10.1162/coli_a_00088
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发表时间：
2012-03-01
影响因子：
9.3
通讯作者：
van Deemter, Kees
中科院分区：
文献类型：
--
作者：
Krahmer, Emiel;van Deemter, Kees
本文综述了关于指称表达式生成的计算研究。它介绍了REG问题，并介绍了在这一领域的早期工作，讨论了它背后的基本假设，并显示其职权范围在近年来扩大。我们讨论了计算框架的基础REG，并展示了最近的趋势，寻求链接REG算法与完善的知识表示技术。相当多的注意力是最近的努力，在评估REG算法和经验教训，他们让我们学习。文章最后讨论了REG的前进方向，重点是更大和更现实的设置中的参考。
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.