Modeling semantic similarity of well-known stimuli

doi:10.17605/OSF.IO/72APM

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Tools for quantifying the semantic similarity of an arbitrary set of familiar meaningful stimuli. The [wiki2vec][1] method combines information from Wikipedia with the word2vec model, which is publicly available dataset with vector representations for many common words and phrases. The [wiki2USE][2] model is similar but uses the Universal Sentence Encoder model. [1]: https://github.com/prestonlab/wiki2vec [2]: https://github.com/mortonne/wikivector

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