Reactive Content Selection in the Generation of Real-time Soccer Commentary
Reactive Content Selection in the Generation of Real-time Soccer Commentary
复制标题
实时足球评论生成中的反应式内容选择
DOI：
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
I. Noda
中科院分区：
文献类型：
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作者：
Kumiko Tanaka;K. Hasida;I. Noda
MIKE 是一种自动解说系统，可以用英语、法语或日语生成模拟足球比赛的解说。现场体育解说所涉及的主要技术挑战之一是反应性地选择内容来描述复杂、快速展开的情况。为了应对这一挑战，MIKE 采用重要性评分来直观地捕捉向受众传达的信息量。我们描述了如何使用最大化游戏期间重要性得分总增益的原则将内容选择合并到表面生成模块中，从而解决诸如中断和缩写之类的问题。提出了由 MIKE 生成的示例评论，并用于在通信效率方面评估不同的内容选择和生成方法。
MIKE is an automatic commentary system that generates a commentary of a simulated soccer game in English, French, or Japanese.One of the major technical challenges involved in live sports commentary is the reactive selection of content to describe complex, rapidly unfolding situation. To address this challenge, MIKE employs importance scores that intuitively capture the amount of information communicated to the audience. We describe how a principle of maximizing the total gain of importance scores during a game can be used to incorporate content selection into the surface generation module, thus accounting for issues such as interruption and abbreviation.Sample commentaries produced by MIKE are presented and used to evaluate different methods for content selection and generation in terms of efficiency of communication.