{"pk":26285,"title":"Simple Search Algorithms on Semantic Networks Learned from Language Use","subtitle":null,"abstract":"Recent empirical and modeling research has focused on thesemantic fluency task because it is informative about seman-tic memory. An interesting interplay arises between the rich-ness of representations in semantic memory and the complex-ity of algorithms required to process it. It has remained anopen question whether representations of words and their re-lations learned from language use can enable a simple searchalgorithm to mimic the observed behavior in the fluency task.Here we show that it is plausible to learn rich representationsfrom naturalistic data for which a very simple search algorithm(a random walk) can replicate the human patterns. We sug-gest that explicitly structuring knowledge about words into asemantic network plays a crucial role in modeling human be-havior in memory search and retrieval; moreover, this is thecase across a range of semantic information sources.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"semantic networks; semantic search; semanticmemory; computational modeling"}],"section":"Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/7vx123zw","frozenauthors":[{"first_name":"Aida","middle_name":"","last_name":"Nematzadeh","name_suffix":"","institution":"University of Toronto","department":""},{"first_name":"Filip","middle_name":"","last_name":"Miscevic","name_suffix":"","institution":"University of Toronto","department":""},{"first_name":"Suzanne","middle_name":"","last_name":"Stevenson","name_suffix":"","institution":"University of Toronto","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2016-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/26285/galley/15921/download/"}]}