Named entity recognition (NER) is a process for finding specified entities in text. For example, a simple news named-entity recognizer for English might find the person "John J. Smith" and the location "Seattle" in the text string "John J. Smith lives in Seattle."
NER functions let you specify how to extract named entities when training the data models. The ML Engine provides two sets of NER functions:
| Function Set | Supported Languages |
|---|---|
| NER Functions (CRF Model Implementation) | English, simplified Chinese, traditional Chinese |
| NER Functions (Maximum Entropy Model Implementation) | English |