Detext

DeText is a framework that utilizes deep neural networks for natural language processing tasks, particularly in ranking and classification. It supports various model architectures and allows for customizable configurations, making it suitable for applications like search and recommendation systems. The framework includes features such as automatic feature extraction, end-to-end training, and interaction modeling, providing flexibility for users to tailor models to their specific needs.