9. The method of claim 5 , further comprising generating training data, the generating comprising: scanning a data source for a first search query having the seed named entity; collecting the first search query having the seed named entity; identifying an associated context of the first search query having the seed named entity; scanning the data source for a second search query having the associated context; collecting the second search query having the associated context; and extracting a new named entity from the second search query having the associated context.
9. The method of claim 5 , further comprising generating training data, the generating comprising: scanning a data source for a first search query having the seed named entity; collecting the first search query having the seed named entity; identifying an associated context of the first search query having the seed named entity; scanning the data source for a second search query having the associated context; collecting the second search query having the associated context; and extracting a new named entity from the second search query having the associated context. 16. The method of claim 9 , further comprising collecting the extracted new named entity based on a heuristic threshold, wherein the new named entity is collected if the new named entity appears with at least a predefined number of unique contexts.