Journal of Natural Language Processing
Online ISSN : 2185-8314
Print ISSN : 1340-7619
ISSN-L : 1340-7619
Comparison of Template- and Neural-based Methods for Sports Summary Generation
Yuki TagawaKazutaka Shimada
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2018 Volume 25 Issue 4 Pages 357-391


In this study, we propose inning summarization methods to generate a simple and sophisticated summary of baseball games using play-by-play data. We focus on the two information sources of inning reports and game summaries. First, we generate a basic sentence using an inning report; further, the basic sentence is integrated with an explanatory phrase to generate inning summaries that contain expressions such as “the long-awaited first score” in game summaries. We refer to these phrases as the game-changing phrases (GPs). Readers can easily understand the situation of a game using GPs. In this study, we investigate the template- and neural-based methods of summary generation. Additionally, we evaluate the two methods and discuss their advantages and disadvantage.

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© 2018 The Association for Natural Language Processing
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