Joint Entity Extraction and Assertion Detection for Clinical Text

ACL 2019 Parminder BhatiaBusra CelikkayaMohammed Khalilia

Negative medical findings are prevalent in clinical reports, yet discriminating them from positive findings remains a challenging task for in-formation extraction. Most of the existing systems treat this task as a pipeline of two separate tasks, i.e., named entity recognition (NER)and rule-based negation detection... (read more)

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