Artifacts using FastNER (Fast Name Entity Recognition) (4)
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RuSH is an efficient, reliable, and easy adaptable rule-based sentence segmentation solution. It is specifically designed to handle the telegraphic written text in clinical note. It leverages a nested hash table to execute simultaneous rule processing, which reduces the impact of the rule-base growth on execution time and eliminates the effect of rule order on accuracy. If you wish to cite RuSH in a publication, please use: Jianlin Shi ; Danielle Mowery ; Kristina ...
Last Release on Feb 10, 2018
The library of EasyCIE.
Last Release on Feb 16, 2020
SectionDetectorR is a Rule-Based SectionDetector leveraging FastNER for section header detection.
Last Release on Mar 14, 2022