Generation and Answering Systems R&D for Technology-Enabled Learning Systems; January 2003; Washington, DC

0226422亨利·凯利美国科学家联合会“技术支持学习系统的问题生成和回答系统研发”该项目涉及将跨学科、公共和私营部门的研究和开发领导者聚集在一起，以确定有前途的研究，解决将问题生成和回答能力纳入学习系统的挑战。来自公司、大学、政府研究机构和其他具有独特相关专业知识的专家小组的建议将导致：1)从心理学、认知科学、计算语言学和信息系统设计等多个角度对问答系统的最新研究进行全面回顾；2)对相关研究人员、项目经理、行业代表进行电话访谈；3)将任务1)& 2)的发现同化成初步报告；4)由问题生成和回答系统的公认专家、研究人员、开发人员和实施者参加的研讨会，以评估、讨论并为最终报告做出贡献；5)一份最终报告，该报告将综合研讨会的讨论，可以作为该领域的全面和战略性观点，研究人员，行业和基金可以用作开发和应用问答系统的指南。该项目解决了提高对研究成果、工具和正在进行的跨研究学科、行业努力以及与问题生成和回答相关的政府资助组织的计划和项目的认识的关键需求。这项工作结合了许多学科的技能，包括信息科学、软件工程和设计以及认知科学。

0226422Henry KellyFederation of American Scientists"Question Generation and Answering Systems R&D for Technology-Enabled Learning Systems"This project involves bringing research and development leaders together across disciplines and the public and private sectors to identify promising research that addresses the challenge of incorporating question generation and answering capabilities into learning systems. Advice from panels of experts from companies, universities, government research facilities, and others with unique related expertise will result in: 1) A comprehensive review of recent research on questioning and answer systems from multiple perspectives: psychology, cognitive science, computational linguistics, and information systems design; 2) Telephone interviews with relevant researchers, program managers, and industry representatives; 3) Assimilation of the findings from tasks 1) & 2) into a preliminary report; 4) A workshop of acknowledged experts, researchers, developers, and implementers of question generation and answering systems to evaluate, discuss and contribute to the final report; 5) A final report that will synthesis the discussions from the workshop that can serve as a comprehensive and strategic view of the field which researchers, industry, and funding may use as a guide for developing and applying question and answer systems. This project addresses a critical need to raise awareness of research results, tools, and on-going programs and projects across research disciplines, industry efforts, and government funding organizations related to question generation and answering. The work combines the skills of many disciplines including information science, software engineering and design, and cognitive science.