摘要：Human beings inherit an informational culture transmitted through spoken and written language. A growing body of empirical work supports the mutual influence between language and categorization, suggesting that our cognitive-linguistic environment both reflects and shapes our understanding. By implication, artifacts that manifest this cognitive-linguistic environment, such asWikipedia, should represent language structure and conceptual categorization in a way consistent with human behavior. We use this intuition to guide the construction of a computational cognitive model, situated in Wikipedia, that generates semantic association judgments. Our unsupervised model combines information at the language structure and conceptual categorization levels to achieve state of the art correlation with human ratings on semantic association tasks including WordSimilarity-353, semantic feature production norms, word association, and false memory.
