Table 2.
AIC weights for models with semantic similarity. Models with wAIC > 0.1 are displayed in bold. Weights for the base model not shown (Experiment 1: 6.404e-48; Experiment 2: 1.93e-90; Experiment 3: 1.14e-89). LSA: latent semantic analysis; GloVe: global vectors model; WAS: word association spaces. C: context-based semantic cuing; I: item-based semantic cuing; IC: combined item and context-based semantic cuing.
| Experiment 1 | Experiment 2 | Experiment 3 | |||||||
|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||
| C | I | IC | C | I | IC | C | I | IC | |
| LSA | 3.37e-40 | 2.22e-28 | 8.39e-42 | 1.95e-52 | 5.30e-34 | 4.20e-44 | 0 | 0 | 0 |
| GloVe | 2.75e-21 | 2.78e-6 | 7.38e-18 | 3.15e-11 | 7.78e-9 | 2.41e-11 | 0 | 1.33e-294 | 2.68e-314 |
| WAS | 6.72e-7 | 0.9999 | 6.16e-12 | 3.87e-6 | 0.9999 | 4.10e-7 | 3.90e-74 | 1 | 4.01e-8 |