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

SGER：关于在七点部署新闻的提案：在为代表性不足的人群提供服务的同时提供研究可见性

• 批准号: 0836564
• 负责人: Kristian Hammond
• 金额: $ 8.73万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0836564&HistoricalAwards=false
• 关键词: SGER; Proposal; Deploying; News; Seven

'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.

西北大学的智能信息实验室(InfoLab)开发了一种全自动化的方法来创建广播新闻，名为“7点新闻”。从文本形式的新闻故事(手动选择，或使用可编程偏好模型自动找到)开始，该系统能够编辑用于广播呈现的故事，找到相关的背景视觉材料(例如，视频和静止图像)，并使用诸如在网络上找到的博客之类的来源来扩充主要文本。然后，这些资源一起被用来驱动一组动画人物，这些动画人物生活在我们为他们创建的虚拟“新闻世界”中。该项目正在开发工具，使非计算机专业人员的内容提供商能够更好地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小众群体中进行新闻传递。