U.S.-France Cooperative Research: The Role of Background Knowledge in Automatic and Controlled Processes in Text Comprehension

9314467 Kintsch这个为期三年的奖项支持科罗拉多大学的Walter Kintsch和巴黎大学的Guy Denhiere在信息科学方面的美法合作研究。研究人员专门研究计算机和人类之间的调解系统，特别是自然语言理解。他们的研究目标是开发一种新的认知计算机体系结构，适合于理解过程的研究。他们提出的模型是一种混合模型，它将基于弱规则的生产系统与刺激心理表征形成的约束过程结合在一起。例如，弱规则是导致一个词的一个以上可能含义的词识别规则。美国和法国在理论和实验方面的互补专业知识将推动这一努力。提出了一种联合实验方案，通过计算机仿真对新模型进行验证。这个项目将促进自然语言处理方面的理解。***

9314467 Kintsch This three-year award supports U.S.-France cooperative research in information sciences between Walter Kintsch of the University of Colorado and Guy Denhiere of the University of Paris, VIII. The investigators specialize in systems that mediate between computers and humans, specifically, in natural language understanding. The objective of their research is to develop a new computer architecture for cognition suited to the study of comprehension processes. Their proposed model is a hybrid that combines a production system based on weak rules with a constraint process that stimulates the formation of mental representations. Weak rules, for example, are word identification rules that lead to more than one possible meaning of a word. U.S. and French complementary expertise in theory and experiment will advance this effort. A joint experimental program to test the new model through computer simulations is proposed. This project will advance understanding in natural language processing. ***