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Abstract:
Information Extraction systems rely on a set of extraction patterns that they use in order to retrieve from each document the relevant information. In this paper we survey the various types of extraction patterns that are generated by machine learning algorithms. We identify three main categories of patterns, which cover a variety of application domains, and we compare and contrast the patterns from each category.