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Are You Using Existing Knowledge to Generate Training Data?
When we extract the knowledge, we need to train models. The training data basically come from two sources. One source is certainly manual labels. Another big source is existing knowledge. So we call it seed knowledge and we apply weak learning. We use the seed knowledge to automatically generate the training data that will help us to train the model.