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Found 3 papers, 2 papers with code
Enhanced Distant Supervision with State-Change Information for Relation Extraction
In this work, we introduce a method for enhancing distant supervision with state-change information for relation extraction.
Towards Realistic Few-Shot Relation Extraction
In recent years, few-shot models have been applied successfully to a variety of NLP tasks.
FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation
Near-real time estimation of damage to buildings and infrastructure, referred to as damage nowcasting in this study, is crucial for empowering emergency responders to make informed decisions regarding evacuation orders and infrastructure repair priorities during disaster response and recovery.
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