AIMC Topic: Reference Books, Medical
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Subsequence and distant supervision based active learning for relation extraction of Chinese medical texts.
BMC medical informatics and decision making
Feb 14, 2023
In recent years, relation extraction on unstructured texts has become an important task in medical research. However, relation extraction requires a large amount of labeled corpus, manually annotating sequences is time consuming and expensive. Theref...
Scaling Out and Evaluation of OBSecAn, an Automated Section Annotator for Semi-Structured Clinical Documents, on a Large VA Clinical Corpus.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
"Identifying and labeling" (annotating) sections improves the effectiveness of extracting information stored in the free text of clinical documents. OBSecAn, an automated ontology-based section annotator, was developed to identify and label sections ...
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