Overview of Approach Start with small amount of labeled data Generate patterns from examples  Select those that appear in training data more than once and don't appear both in a 1 and a 5 labeled example Expand data through search using examples from labeled data as queries (take top 50 snippet results) Represent data in terms of templatized patterns Modified kNN classification approach How could you do this with SIDE.
{}