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“技术支持的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以及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，以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）从多个角度对问答系统的最新研究进行全面回顾：心理学，认知科学，计算语言学和信息系统设计; 2）电话采访相关研究人员，项目经理和行业代表; 3）将任务1）2）的发现同化&为初步报告; 4）由公认的专家、研究人员、开发人员和问题生成和回答系统的实施者参加的研讨会，以评估、讨论和为最终报告做出贡献; 5）一份最后报告，将综合研讨会的讨论，作为研究人员，行业和资金可以用作开发和应用问答系统的指南。该项目解决了一个关键的需求，以提高对研究成果，工具，以及跨研究学科，行业努力和政府资助组织与问题生成和回答正在进行的计划和项目的认识。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.