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. Author manuscript; available in PMC: 2020 Dec 29.
Published in final edited form as: Nat Hum Behav. 2020 Jun 29;4(9):937–948. doi: 10.1038/s41562-020-0901-2

Figure 2. Modelling memorability of target words in arbitrary verbal associations based on matching strength of words.

Figure 2.

(A) The likelihood that a cue word, Qj (j = 1 to M), leads to the retrieval of a target word, Ii (I = 1 to N), is a function of the semantic similarity, or matching strength between Qj and Ii (see Methods). We modelled the semantic similarity between words using the vectorized word features based on GloVe values29. Memorability of the target word Ii, Mem(Ii), can thus be approximated by the aggregated likelihood of successful retrieval cued by any arbitrary words in the available semantic space. (B) The predicted memorability estimates based on our computational model correlates with the observed memorability in both the iEEG sample (left; ρ = 0.20, 95% CI: [0.09, 0.30], p = 0.00057, two-tailed) and in the online sample (right; ρ = 0.21, 95% CI: [0.10, 0.31], p = 0.00029, two-tailed). Solid lines represent linear fits of the data, and the dashed lines represent 95% confidence interval of the linear fit.