IMPROVING FEW-SHOT NAMED ENTITY RECOGNITION WITH CAUSAL INTERVENTIONS

Few-shot Named Entity ORG ALOE VERA JUICE INNER FILLET Recognition (NER) systems are designed to identify new categories of entities with a limited number of labeled examples.A major challenge encountered by these systems is overfitting, particularly pronounced in comparison to tasks with ample samples.This overfitting predominantly stems from spur

Sentinel-1A and Landsat 8 images have been combined in this study to map rice fields in urban Shanghai, southeast China, during the 2015 growing season.Rice grown in paddies in this area is characterized by wide inter-field variability in addition to being fragmented by other landuses.Improving rice classification accuracy requires the use of multi