Andrew Perfors
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Predicting human similarity judgments with distributional models: The value of word associations
Predicting human similarity judgments with distributional models: The value of word associations
Finds that semantic networks built from word association data capture similarity judgments better than state-of-the-art corpus models like word2vec.
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