Rumelhart Symposium: Honoring Richard Shiffrin
Proceedings of the Twenty-fourth Annual Conference of the Cognitive Science Society(2019)
摘要
Data-Driven Approaches to Information Access (Susan Dumais) Several lines of research that are motivated by the practical problem of helping users find and manage information in external data sources, most notably computers, will be described. The application areas include: information retrieval, text categorization, and question answering. A common theme in all these efforts is the analysis of the statistical properties of words in large volumes of real world texts. Simple statistical analyses and machine learning algorithms are used to solve practical information access problems. In addition these same statistical properties of objects in the world constrain human performance. Thus solutions to practical problems can shed light on human knowledge representation and reasoning.
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