This example provides the intuition for our approach to smoothing: we seek to share information about the contexts of a word across multiple instances of the word, in order to provide more information about words that are rarely or never seen in training.
we seek to represent each word by a distribution over its contexts, and then provide the learning algorithm with features computed from this distribution.