Semantic Annotation Planning Meeting

语义标注规划会议

• 批准号: 0531176
• 负责人: Bonnie Dorr
• 金额: --
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-05-15 至 2008-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0531176&HistoricalAwards=false
• 关键词: Semantic; Annotation; Planning; Meeting

This is funding to support approximately 40 attendees in a workshop to be held at the University of Maryland Inn and Conference Center on April 14-15, 2005. Participants will be a mixture of researchers who are developing representations of the semantics of a text, and those developing applications such as machine translation and summarization systems, as well as knowledge-based inferencing and analysis applications such as Social Network Analysis. The goal of the meeting is to create a representation that would serve as input to these applications. Workshop participants will model the problem as an extended exercise in extracting information elements from a "document" (that is, from language communication which may have been written or spoken). There are two broad questions that attendees hope to answer: (a) what are the elements of knowledge that can be derived from a document, and (b) can the representation, and hence, the annotation, be laid out in terms of iterative layers, the accumulation of which would represent the sum of the knowledge? Thus, the workshop outcome will be creation of a "road map" for building up representations over the long term, which will get richer as the community learns to exploit more of the information content.Broader Impacts: The government has an interest in using a unified representation rather than a set of individual representations. The Intelligence Community, DARPA, and NSF have funded a number of efforts towards the annotation of meaning representations in the past few years; this workshop is an attempt to pull this expertise together to produce a unified approach.

这笔资金将用于支持大约40名与会者参加将于2005年4月14日至15日在马里兰州大学旅馆和会议中心举行的讲习班。 参与者将是开发文本语义表示的研究人员，以及开发机器翻译和摘要系统等应用程序以及基于知识的推理和分析应用程序（如社交网络分析）的研究人员。会议的目标是创建一个表示，作为这些应用程序的输入。 讲习班参加者将把这个问题模拟为从“文件”（即从可能是书面或口头的语言交流）中提取信息要素的扩展练习。 与会者希望回答两个广泛的问题：（a）可以从文档中导出的知识元素是什么，以及（B）表示以及注释是否可以按照迭代层进行布局，其累积将代表知识的总和？ 因此，研讨会的成果将是创建一个长期建立代表性的“路线图”，随着社区学会利用更多的信息内容，它将变得更加丰富。更广泛的影响：政府有兴趣使用统一的代表性，而不是一套单独的代表性。 在过去的几年里，情报界，DARPA和NSF已经资助了一些对意义表示的注释的努力;这次研讨会是一次尝试，将这些专业知识结合在一起，产生一个统一的方法。