RI: Cross-Cutting Research Workshops in Intelligent Information Systems

约翰霍普金斯大学正在组织一个为期六周的研究研讨会，重点是语言工程的机器学习，并努力与机器智能的其他领域进行协同交叉。 本次研讨会汇集了领先的专业人士和学生，研究生和本科生，在合作和密集的努力，以推进语言工程，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，总结和问题回答。研讨会的主要目标是推进语言工程，吸引新的学生到该领域，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。项目是通过向全球IIS社区公开征集提案来选择的。研究生的遴选是根据研究生的研究兴趣和项目建议者的表现而定。除了确立新的研究方向和为学生提供实践教育外，讲习班的成果将被广泛传播，并被来自不同地域机构的参与教师、研究生和本科生纳入持续的、大规模的合作研究工作。将为IIS研究创建有价值的工具和数据，并在不同和分散的参与者之间开展富有成效的长期合作。

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.