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Big Generalizations with Small Data: Exploring the Role of Training Samples in Learning Adjectives of Size

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Figure

Figure 1: SET+POS. Two original (ORIGangle,pectedsamples is modified bytive and its ground-truth (SFalseTrue) examples.Left (ORIG): The white rectangle is a big rectangle,
Table 1: Average accuracy ± standard deviation by FiLM on 3 test sets in settings A-H (in brackets, proportionof unexpected cases seen in training)
Figure 3: PCA analysis on 2K GRU sentence embeddings by each best model on the balanced test set in settingsA, B, C, and H (from left to right)
Figure 5: Mutual exclusivity (ME) of predictions be-tween ORIG and SWAP seen/unseen. The less overlap-ping predictions, the higher ME

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