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，并努力实现与机器智能其他领域的协同交叉。这个研讨会汇集了不同的专业人员和学生团队，包括研究生和本科生，共同努力促进语言工程科学的发展，包括自动语音识别、自然语言处理、机器翻译、话题检测和跟踪、信息检索和提取、摘要和问题回答。研讨会的主要目标是促进语言工程，吸引新学生进入该领域，并通过让他们与杰出的研究人员合作解决令人兴奋的问题来为研究做准备。研讨会项目是通过向全球IIS社区发布的公开征求建议书来选择的。这些建议将在一个计划会议上进行竞争性评估，该会议汇集了项目的倡导者、相关学科的公正专家和政府代表。被选中的项目的倡议者根据他们的研究兴趣和表现来挑选研究生。本科生将进入通过全国公开搜索挑选的高年级学生。除了建立新的研究方向和为学生提供实践教育外，研讨会成果将被广泛传播，并纳入来自不同地理位置的机构的参与教师、研究生和本科生的持续、大规模、合作的研究工作。将为研究所的研究创造有价值的工具和数据，并将在分散的不同参与者之间开展富有成效和持久的合作。

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.