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    • 3. 发明申请
    • AUTOMATIC STORY SUMMARIZATION FROM CLUSTERED MESSAGES
    • 集体消息的自动案例总结
    • US20120179449A1
    • 2012-07-12
    • US13004083
    • 2011-01-11
    • David Arthur RaskinoMatthew Bret MacLaurin
    • David Arthur RaskinoMatthew Bret MacLaurin
    • G06F17/28G06F15/16
    • G06F17/30719
    • A set of stories may be related in a set of messages (e.g., news articles, weblog posts, or messages exchanged in a social network). Presented herein are techniques for automatically generating a summary of respective stories that may be used as a headline or title. These techniques involve identifying the entities referenced in each message, clustering the messages based on similarly referenced entities to generate a cluster of messages associated with each story, and identifying facts of the story that appear in many of the messages, which may be used to generate a perspective-independent summary of the story. Additionally, metadata regarding each message may be detected (e.g., the entities involved in each story, a meta-story of the story, and the perspective of the author in relating the story), and may be used to fulfill requests to filter the set of stories and/or messages based on these criteria.
    • 一组故事可以在一组消息(例如,新闻文章,博客帖子或在社交网络中交换的消息)中相关联。 这里提出的是用于自动生成可用作标题或标题的各个故事的概要的技术。 这些技术涉及识别在每个消息中引用的实体,基于类似引用的实体对消息进行聚类以生成与每个故事相关联的消息群集,以及识别出现在许多消息中的故事的事实,这些消息可用于生成 一个透视独立的故事摘要。 此外,可以检测关于每个消息的元数据(例如,每个故事中涉及的实体,故事的故事故事,以及作者关于故事的观点),并且可以用于完成对集合的过滤的请求 基于这些标准的故事和/或消息。
    • 4. 发明授权
    • Automatic story summarization from clustered messages
    • 从群集消息自动的故事摘要
    • US08990065B2
    • 2015-03-24
    • US13004083
    • 2011-01-11
    • David Arthur RaskinoMatthew Bret MacLaurin
    • David Arthur RaskinoMatthew Bret MacLaurin
    • G06F17/28G06F17/30
    • G06F17/30719
    • A set of stories may be related in a set of messages (e.g., news articles, weblog posts, or messages exchanged in a social network). Presented herein are techniques for automatically generating a summary of respective stories that may be used as a headline or title. These techniques involve identifying the entities referenced in each message, clustering the messages based on similarly referenced entities to generate a cluster of messages associated with each story, and identifying facts of the story that appear in many of the messages, which may be used to generate a perspective-independent summary of the story. Additionally, metadata regarding each message may be detected (e.g., the entities involved in each story, a meta-story of the story, and the perspective of the author in relating the story), and may be used to fulfill requests to filter the set of stories and/or messages based on these criteria.
    • 一组故事可以在一组消息(例如,新闻文章,博客帖子或在社交网络中交换的消息)中相关联。 这里提出的是用于自动生成可用作标题或标题的各个故事的概要的技术。 这些技术涉及识别在每个消息中引用的实体,基于类似引用的实体对消息进行聚类以生成与每个故事相关联的消息群集,以及识别出现在许多消息中的故事的事实,这些消息可用于生成 一个透视独立的故事摘要。 此外,可以检测关于每个消息的元数据(例如,每个故事中涉及的实体,故事的故事故事,以及作者关于故事的观点),并且可以用于完成对集合的过滤的请求 基于这些标准的故事和/或消息。