Automatic Extraction

Automatic extraction focuses on developing computational methods to automatically identify and extract specific information from unstructured data sources, such as text, images, and sensor readings. Current research emphasizes leveraging deep learning models, particularly large language models (LLMs) and transformer-based architectures, to improve accuracy and efficiency across diverse applications. This field is crucial for accelerating scientific discovery by automating data analysis in domains like biomedicine, materials science, and finance, and also for improving practical applications such as automated knowledge graph construction and real-time threat detection.