Named Entity Recognition NER, also known as "proper name recognition", refers to the process by which a computer recognizes named entities in a text. This is a basic NLP task.

NER Implementation Method

There are two types of named entity recognition methods: rule-based methods and statistical-based methods.

The success of named entity recognition is based on two aspects: whether the entity boundary is correct and whether the entity type is correctly labeled.

NER Applications

It is an important basic tool in application fields such as information extraction, question-answering systems, syntactic analysis, and machine translation, and an important step in extracting structured information.