首页> 外文会议>IIAI International Congress on Advanced Applied Informatics >Generating Abstractive Summaries of Sports Games from Japanese Tweets
【24h】

Generating Abstractive Summaries of Sports Games from Japanese Tweets

机译:从日本推文产生体育游戏的抽象摘要

获取原文

摘要

Microblogs are one of the most important resources for natural language processing. In this paper, we deal with a summarization task of sports events on Twitter. Although many researchers have proposed methods to summarize tweets about sports events, the methods were based on extractive approaches. We focus on an abstractive approach to generate a better summary as compared with the extractive approaches. First, our method detects burst situations in which many users post tweets when a sub-event in a game occurs. Tweets in the burst situations are the inputs of our method. Next, it extracts sub-event elements (SEEs) that contain actions in a game, such as “Player A made a pass to Player B” and “Player B made a shot on goal.” Then, it identifies the optimal order of the extracted SEEs by using a scoring method. Finally, it generates an abstractive summary on the basis of the ordered SEEs, such as “Playler B made a shot on goal from the Player A's pass.” In the experiment, we show the effectiveness of our method as compared with related work based on an extractive approach.
机译:微博是自然语言处理中最重要的资源之一。在本文中,我们处理Twitter上体育赛事的总结任务。虽然许多研究人员提出了总结关于体育赛事的推文的方法,但这些方法是基于提取方法。我们专注于一种抽象方法,与提取方法相比,产生更好的摘要。首先,我们的方法检测到在游戏中的子事件发生时发布许多用户的突发情况。突发情况下的推文是我们方法的输入。接下来,它提取包含在游戏中的动作的子事件元素(SEE),例如“玩家A传递给玩家B”和“玩家B拍摄目标”。然后,通过使用评分方法识别提取的看到的最佳顺序。最后,它基于订购的观察来产生抽象摘要,例如“Playler B从玩家A的通过的目标上拍摄”。在实验中,我们展示了与基于提取方法的相关工作相比我们的方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号