Cross Lingual Ner

Cross-lingual Named Entity Recognition (Cross-lingual NER) is an important task in natural language processing, aiming to improve the performance of named entity recognition in low-resource languages by leveraging data resources from multiple languages. The goal of this technology is to transfer knowledge between different languages to achieve accurate annotation and recognition of entities. Its application value lies in effectively addressing information extraction issues in multilingual environments, promoting technological advancements in areas such as cross-lingual information retrieval and machine translation.