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

这个为期两年的奖项支持美英合作研究基于语料库分析和不同应用中的计算建模的生成名义表达式的算法。这项合作包括Barbara DiEugenio和匹兹堡大学学习研究与发展中心的研究生，以及爱丁堡大学人类交流研究中心的Massimo Poesio博士。主要问题，如话语和对话建模，这是涉及到产生名词，将进行调查。美国研究人员为这次合作带来了人机协作和辅导对话以及智能辅导系统方面的专业知识。爱丁堡研究小组在实现算法和开发单个说话者应用程序（例如与网络遍历相关的对象描述的生成）方面的专业知识补充了这一点。爱丁堡小组将实施这些算法，并将由匹兹堡中心进行测试和修改。

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.