Incorporating context into a computational similarity measure:  introducing context-relevant cosine (CRC)

doi:10.17605/OSF.IO/U98SE

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Libby Barak: libby.berk@gmail.com Adele E. Goldberg The current work introduces a new measure of similarity that takes the context evoked by the two words being compared into account. Model performance is compared with human judgments on 3500 verb-pairs (Gerz et al., 2016) and found to outperform cosine similarity and other measures.

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