Cross Lingual Document Classification

Cross-lingual document classification refers to the use of data and models from a resource-rich language (such as English) to address classification tasks in another language, typically one with fewer resources. This task aims to improve the accuracy and efficiency of document classification in low-resource languages through transfer learning techniques, promoting multilingual information processing and understanding, which has significant application value.