Transfer learning for named entity recognition models Support for multi-page scanned or generated PDFsĪutomatic detection of 100+ clinical and biomedical entitiesĪutomatic detection of clinical assertion status detection (negation detection)Īutomatic detection of 30+ healthcare-specific relation extractionĪutomatic entity normalization (coding) to 10+ medical terminologies Precision/Recall Reports for Trained Models Transfer learning: start from pre-trained models Pre-annotations with model assisted labelingĪctive learning: auto-retrain models on the flyĮnterprise, Support for 3rd party ML integration Project configuration based on existing models and rules Limited to single user & 500 labels/month Limited to a single organization and workspace Small teams and individuals looking to test capabilities or validate early-stage experiments. Used by individual data scientists and small annotation teams. Teams looking for an enterprise-grade, proven, full-featured data labeling platform.
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