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Summarization of Broadcast News Video through Link Analysis of Named Entities

机译:通过命名实体的链接分析的广播新闻视频概述

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This paper describes the use of connections between named entities for summarization of broadcast news. We first extract named entities from a transcript of a news story, and find related entities nearby. In the context of a query, a link graph of relevant entities is rendered in an interactive display, allowing the user to manipulate, browse and examine the components, including the ability to play back video clips that mention with interesting relationships. An evaluation of the approach shows that completely automatic summaries from a year of broadcast news can reflect almost 50% of the entities in a manually created reference summary found on the web. Locations are the most accurate aspect of summarization.
机译:本文介绍了在广播新闻汇总的命名实体之间的使用。我们首先从新闻故事的成绩单中提取命名实体,并在附近找到相关的实体。在查询的上下文中,相关实体的链接图是在交互式显示中呈现的,允许用户操纵,浏览和检查组件,包括播放有趣关系提及的视频剪辑的能力。对方法的评估表明,从一年的广播新闻中的完全自动摘要可以在Web上发现的手动创建的参考摘要中反映了几乎50%的实体。位置是总结的最准确的方面。

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