Multilingual Named Entity Recognition

Multilingual Named Entity Recognition (MNER) is a key task in natural language processing aimed at automatically identifying and classifying named entities from texts in multiple languages. The goal of this technology is to accurately extract specific entities such as person names, place names, and organization names, and categorize them into predefined classes. The application value of MNER lies in supporting cross-lingual information retrieval, machine translation, sentiment analysis, and other scenarios, enhancing the efficiency and accuracy of multilingual data processing.