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Knowledge Discovery in COVID-19 Research Literature
This paper presents the preliminary results of an ongoing project that analyzes the growing body of scientific research published around the COVID-19 pandemic.
Active Learning for Assisted Corpus Construction: A Case Study in Knowledge Discovery from Biomedical Text
Experimental results suggest that the query strategy reduces by between 35% and 40% the number of sentences that must be manually annotated to develop systems able to reach a target F1 score, while the pre-annotation strategy produces an additional 24% reduction in the total annotation time.
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