FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction
FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction FAMIE is a comprehensive and efficient active learning (AL) toolkit for multilingual information extraction (IE). FAMIE is designed to address a fundamental problem in existing AL frameworks where annotators need to wait for a long time between annotation batches due to the time-consuming nature of model training and data selection at each AL iteration. With a novel proxy AL mechanism and the integration of our SOTA multilingual toolkit Trankit, FAMIE […]
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