The Semantic Librarian: A Search Engine Built from Vector-Space Models of Semantics
Harinder Aujla, Matthew John Charles Crump, Matthew T. Cook, Randall Kenneth Jamieson · 2019
Psychologists have made substantial progress at developing empirically validated formal expressions of how people perceive, learn, remember, think, and know. In this paper, we present an academic search engine for cognitive psychology that leverages computational expressions of human cognition (vector-space models of semantics) to represent and find papers in the psychological record. The method shows how psychological theory can be used to inform and aid the design of psychologically intuitive computer interfaces. An R Shiny version of the Semantic Librarian is available at https://crumplab.github.io/SemanticLibrarian/