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Average accuracy and standard deviation on test data

Average accuracy and standard deviation on test data

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Figure 4: Overlapping choices of the different selection mechanisms for...
Average accuracy and standard deviation on test data
Active Word Learning through Self-supervision
Conference Paper
Full-text available
  • Jul 2020
Models of cross-situational word learning typically characterize the learner as a passive observer, but a language learning child can actively participate in verbal and non-verbal communication. We present a computational study of cross-situational word learning to investigate whether a curious word learner who actively influences linguistic input...

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Context 1
... Table 1 shows the accuracy of trained models in each condition on held-out test data. For testing, we do not use the input selection mechanisms, but rather test every single word/object in every image. ...

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Figure 1: Comprehension train and test accuracy during training.
Figure 2: Production train and test accuracy during training. Please...
Average accuracy on test data
Curiosity in self-supervised active word learning
Conference Paper
Full-text available
  • Sep 2020
Cognitive models of child word learning in general, and cross-situational models in particular, characterize the learner as a passive observer. But children are curious and actively participate in verbal and non-verbal communication, and often introduce new topics which parents are likely to follow up (Bloom et al., 1996). We investigate the potent...