Named Entity Recognition: Essentials, Workings, Approaches, Challenges
Announcement
What is Named Entity Recognition (NER)? How does it work? Different approaches, methods, evaluations, and challenges of NER.
Named Entity Recognition, sometimes called Text Entity Detection, finds and extracts entities in the corpus of text based on its domain (general vs. specific). But what exactly does NER do? How does it work?
In this post:
- What is NER?
- How does it work?
- Approaches to NER Models
- NER Evaluation and Challenges
NER is usually the early step in the NLP pipeline to extract value from textual data. Learn more.