Feature Request: Named Entity Recognition (NER) - Extract Entities from Text

[HsiangNianian]

NER is used to identify and classify named entities (e.g., persons, locations, organizations, dates) within a text. This task aims to build an NER system for extracting entities in various contexts.

Model Selection: Should we use traditional NER techniques (like CRFs) or leverage transformer-based models like BERT?
Entity Categories: Which entities should be detected (e.g., people, organizations, locations)?
Evaluation: What evaluation metrics will be used (e.g., Precision, Recall, F1 Score)?

Expected Outcome

• A working NER system capable of extracting entities from various domains.
• Clear guidelines and API documentation.