Named Entity Recognition In Vietnamese

Named Entity Recognition (NER) is one of the key tasks in Natural Language Processing (NLP), aiming to automatically identify and classify entities with specific meanings from Vietnamese text, such as person names, place names, organizations, etc. The goal of this technology is to improve the accuracy and efficiency of information extraction, providing support for applications like machine translation, sentiment analysis, and question-answering systems, thereby enhancing the understanding and utilization value of Vietnamese text.