When working with a large corpus of data, we often start with an intuition on the latent insights. Azure Cognitive Search has all the tools needed for you to start with just that intuition to build an active learning pipeline. In this session, you will learn how to apply this active learning pattern to the entity extraction task. Knowing a few entities contained in the corpus is all you need to very quickly build a multi-pass enrichment pipeline. The pattern walks you through generating training data to train a model, and integrates the model trained in Azure Machine Learning back into your enrichment pipeline as a new Azure Machine Learning skill.
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