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Prodigy is a modern and fully scriptable annotation tool for creating training data for machine learning models, developed by us at Explosion. It integrates with spaCy out-of-the-box and makes it easy to develop datasets to train your own custom models, for a variety of different NLP tasks, including named entity recognition, text classification, part-of-speech tagging, dependency parsing, entity linking, coreference resolution, relation extraction and more. Prodigy is so efficient that data scientists can do the annotation themselves, enabling a new level of rapid iteration.
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Prodigy is a modern and fully scriptable annotation tool for creating training data for machine learning models, developed by us at Explosion. It integrates with spaCy out-of-the-box and makes it easy to develop datasets to train your own custom models, for a variety of different NLP tasks, including named entity recognition, text classification, part-of-speech tagging, dependency parsing, entity linking, coreference resolution, relation extraction and more. Prodigy is so efficient that data scientists can do the annotation themselves, enabling a new level of rapid iteration.
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