Named-Entity Recognition (Ner)
Named Entity Recognition (NER) is a method in Natural Language Processing (NLP) that identifies and categorizes key information in text, known as named entities. These entities can include names of people, organizations, locations, events, dates, and specific quantitative values such as money and percentages.
Areas of application
- Information Extraction
- Machine Translation
- Speech Recognition
- Question Answering Systems
- Customer Service Bots
- News Aggregation
- Biomedical Data Mining
Example
For example, using NER to identify the names of cities mentioned in a news article: { “city”: “New York” }