SGER: A Proposal for Deploying News at Seven: Providing Research Visibility While Serving Underrepresented Populations

“七点新闻”是西北大学智能信息实验室（InfoLab）开发的一种完全自动化的广播新闻制作方法。从文本形式的新闻故事开始（手动选择，或使用可编程偏好模型自动找到），系统能够编辑广播呈现的故事，找到相关的背景视觉材料（例如，视频和静止图像），并使用在Web上找到的博客等来源增加主要文本。然后，这些资源一起被用来驱动一组动画人物，他们生活在我们为他们创造的虚拟“新闻世界”中。这个项目正在开发的工具将更好地使非计算专业人员的内容提供者准备必要的信息聚合和呈现能力，以便在有特殊信息需求的利基人群中提供新闻。

'News at Seven' is a fully automated approach to creating broadcast news developed at Northwestern University's Intelligent Information Laboratory (InfoLab). Starting with news stories in textual form (either selected manually, or found automatically using a programmable preference model), the system is able to edit the stories for broadcast presentation, find relevant background visual materials (e.g., videos and still images), and augment the primary text using sources such as blogs found on the Web. Together, these resources are then used to drive a set of animated characters who reside in a virtual 'news world' we have created for them.This project is developing tools that will better enable content providers, who are not computing professionals, to prepare the necessary information aggregation and presentation capabilities for news delivery within niche populations with special information needs.