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Adaptive Information Extraction from Text by Rule Induction and Generalization Fabio Craven Department of Computer Science, University of Sheffield Regent Court, 211 Portabello Street, S1 4DP Sheffield,
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Adaptive information extraction is from unstructured text data.
Organizations that need to extract valuable insights from large amounts of data.
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The purpose of adaptive information extraction is to automate the process of extracting relevant information from unstructured data sources.
Information such as key entities, relationships, and events extracted from the text.
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