A Framework for Stylistically Controlled Generation

A Framework for Stylistically Controlled Generation
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风格控制生成的框架

DOI:
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发表时间:
2004
期刊:
International Conference on Natural Language Generation
影响因子:
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通讯作者:
R. Evans
R. Evans
中科院分区:
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文献类型:
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作者:
Daniel S. Paiva;R. Evans

文献摘要

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在本文中,我们描述了一个生成过程的风格控制框架。该方法将从基于语料库的因素分析中获得的风格维度与内部生成器决策相关联,并使用相关性将生成器引导到特定的风格设置。我们用一个医疗信息的原型生成器来说明这种方法。我们将我们的框架与以前的方法进行比较,根据它们如何定义、描述和指定风格,以及它们在控制风格方面的有效性,认为我们的框架提供了一种通用的、实用的、可评估的方法来解决风格控制问题。
In this paper we describe a framework for stylistic control of the generation process. The approach correlates stylistic dimensions obtained from a corpus-based factor analysis with internal generator decisions, and uses the correlation to direct the generator towards particular style settings. We illustrate this approach with a prototype generator of medical information. We compare our framework with previous approaches according to how they define, characterise and specify style and how effective they are at controlling it, arguing that our framework offers a generic, practical, evaluable approach to the problem of stylistic control.