U.S.-UK Cooperative Research: Generating Nominal Expressions -- Insights from Human-Human Collaborative Conversations and Their Computational Models

美英合作研究：生成名义表达式——人与人协作对话及其计算模型的见解

• 批准号: 9800095
• 负责人: Barbara DiEugenio
• 金额: $ 1.5万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-06-01 至 1999-03-01
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9800095&HistoricalAwards=false
• 关键词: U.S.; UK; Cooperative; Research; Generating

This two-year award supports US-UK cooperative research on algorithms for generating nominal expressions, on the basis of corpus analysis and computational modeling in different applications. The collaboration involves Barbara DiEugenio and graduate students at the Learning Research and Development Center at the University of Pittsburgh and Dr. Massimo Poesio of the Human Communication Research Centre at the University of Edinburgh. Major issues, such as discourse and dialogue modeling, which are involved in generating nominals, will be investigated. The US investigators bring to this collaboration expertise on human-human computer- mediated collaborative and tutorial dialogues and intelligent tutoring systems. This is complemented by expertise of the Edinburgh research group on implementation of algorithms and the development of single speaker applications, such as the generation of object descriptions linked to web traversal. The Edinburgh group will implement the algorithms, which will be tested and modified by the Pittsburgh Center.

这项为期两年的奖项支持了关于算法的US-UK合作研究，以生成名义表达式，基于不同应用中的语料库分析和计算建模。 该合作涉及匹兹堡大学学习研究与发展中心的芭芭拉·迪格尼奥（Barbara Dieugenio）和爱丁堡大学人类传播研究中心的Massimo Poesio博士的研究生。 将研究涉及象征性的话语和对话建模等主要问题。 美国调查人员将这种关于人类计算机介导的协作和教程对话以及智能辅导系统的合作专业知识。 爱丁堡实施算法的专业知识和单个扬声器应用程序的开发，例如与Web遍历相关的对象描述的生成。 爱丁堡集团将实施该算法，该算法将由匹兹堡中心进行测试和修改。