CAREER: Automatic Knowledge Acquisition for Natural Language Interfaces to Educational Applications

职业：教育应用自然语言接口的自动知识获取

• 批准号: 0133123
• 负责人: Barbara DiEugenio
• 金额: $ 32.98万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-06-15 至 2008-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0133123&HistoricalAwards=false
• 关键词: CAREER; Automatic; Knowledge; Acquisition; Natural

This is a Faculty Early Career Development (CAREER) award. The project is designed to develop fundamental principles for natural language interfaces for the next generation of intelligent tutoring systems. Natural language interfaces to instructional and educational applications need both knowledge about how to act in a domain and communication knowledge about how to talk about acting in the domain. This project seeks to overcome the domain dependence of natural language interfaces that prevents them from being portable to other domains. It will accomplish this in two ways. First, the research will elucidate the difference between domain dependent and domain independent communication strategies. Second, it will develop a methodology, algorithms and tools to semi-automatically derive domain and communication knowledge from text and dialogues. An innovative aspect of this work is the role played by the lexical semantics of action verbs to acquire domain knowledge represented as action schemas. Among the instructional domains addressed by this research is computer science. The fact that the work concerns tutoring systems integrates the research and education components of the work, through class evaluation and undergraduate participation in research.This CAREER award recognizes and supports the early career-development activities of a teacher-scholar who is likely to become an academic leader of the twenty-first century. Success in this research will enable the construction of improved computerized tutors, as well as advancing the general field of natural language processing. A specific educational focus is mentoring women at the undergraduate and graduate level, and supporting girls in choosing science and engineering as a career.

这是一个教师早期职业发展（CAREER）奖。 该项目旨在为下一代智能辅导系统的自然语言界面开发基本原理。 教学和教育应用程序的自然语言接口既需要有关如何在某个领域中行动的知识，也需要有关如何谈论该领域中的行动的沟通知识。 该项目旨在克服自然语言界面的领域依赖性，从而阻止它们移植到其他领域。 它将通过两种方式实现这一目标。 首先，该研究将阐明领域相关和领域无关的沟通策略之间的差异。 其次，它将开发一种方法、算法和工具，从文本和对话中半自动地获取领域和通信知识。 这项工作的一个创新方面是动作动词的词汇语义在获取以动作模式表示的领域知识方面所发挥的作用。 这项研究涉及的教学领域包括计算机科学。 事实上，这项工作涉及辅导系统，通过课堂评估和本科生参与研究，整合了工作的研究和教育部分。该职业奖认可并支持有可能成为一名教师学者的早期职业发展活动。二十一世纪的学术领袖。 这项研究的成功将有助于构建改进的计算机化导师，并推进自然语言处理的一般领域。 具体的教育重点是指导本科生和研究生阶段的女性，并支持女孩选择科学和工程作为职业。