RI: Cross-Cutting Research Workshops in Intelligent Information Systems

RI：智能信息系统交叉研究研讨会

• 批准号: 0705708
• 负责人: Frederick Jelinek
• 金额: --
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0705708&HistoricalAwards=false
• 关键词: RI; Cross; Cutting; Research; Workshops

Johns Hopkins University is organizing a six-week research workshop focused on Machine Learning for Language Engineering and striving for synergistic cross-fertilization with other areas of machine intelligence. This workshop brings together diverse teams of leading professionals and students, both graduate and undergraduate, in a cooperative and intensive effort to advance the state of the science in Language Engineering, which encompasses automatic speech recognition, natural language processing, machine translation, topic detection and tracking, information retrieval and extraction, summarization and question answering.The primary goals of the workshop are to advance language engineering, to attract new students to the field and to prepare them for research by having them work alongside distinguished researchers on exciting problems.The workshop projects are selected through an open call for proposals issued to the worldwide IIS community. The proposals are evaluated competitively at a planning meeting that draws together the projects' proponents, impartial experts from the relevant disciplines, and government representatives.The graduate students are selected based on their research interest and performance by the proponents of the selected projects. The undergraduates are entering seniors selected through an open national search.In addition to establishing new research directions and providing hands-on education to students, the workshop results will be widely disseminated and incorporated into continuing, large-scale, collaborative research efforts by participating faculty, graduate and undergraduate students from geographically diverse institutions. Valuable tools and data for IIS research will be created, and fruitful and long-lasting collaborations will be initiated between diverse and dispersed participants.

约翰霍普金斯大学正在组织一个为期六周的研究研讨会，专注于语言工程的机器学习，并努力与其他机器智能领域进行协同交叉施肥。本次研讨会汇集了不同团队的领先专业人士和学生，包括研究生和本科生，在合作和密集的努力，以推进语言工程科学的状态，其中包括自动语音识别，自然语言处理，机器翻译，主题检测和跟踪，信息检索和提取，摘要和问题回答。研讨会的主要目标是推进语言工程，吸引新学生进入该领域，并通过让他们与杰出的研究人员一起研究令人兴奋的问题，为他们的研究做好准备。研讨会项目是通过向全球IIS社区公开征集提案的方式选出的。这些提案将在规划会议上进行竞争性评估，该会议汇集了项目的支持者、相关学科的公正专家和政府代表。研究生是由所选项目的发起人根据其研究兴趣和表现选出的。这些本科生将进入通过全国公开搜索选出的高年级学生。除了建立新的研究方向和为学生提供实践教育外，研讨会的成果将被广泛传播，并由来自不同地区的教师、研究生和本科生参与到持续的、大规模的合作研究中。将为IIS研究创造有价值的工具和数据，并在不同和分散的参与者之间发起富有成效和持久的合作。