Among them, extracting structured data from unstructured text: identifying people, places, and events buried in articles; ...
Extracting patient information from unstructured text is a critical task in health decision-support and clinical research. Large language models (LLMs) have shown the potential to accelerate clinical ...
Abstract: This paper presents a methodology for extracting and structuring procurement data from scanned Summary Minutes documents obtained from the Moroccan Public Procurement Portal. Leveraging web ...
Abstract: In this paper, we propose a method to improve the accuracy of speech emotion recognition (SER) by using vision transformer (ViT) to attend to the correlation of frequency (y-axis) with time ...