© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
A. Kulkarni et al.Natural Language Processing Projects https://doi.org/10.1007/978-1-4842-7386-9_8

8. Named-Entity Recognition Using CRF and BERT

Akshay Kulkarni1  , Adarsha Shivananda1 and Anoosh Kulkarni2
(1)
Bangalore, Karnataka, India
(2)
Bangalore, India
 

Named-entity recognition (NER) is a natural language processing technique. It is also called entity identification or entity extraction . It identifies named entities in text and classifies them into predefined categories. For example, extracted entities can be the names of organizations, locations, times, quantities, people, monetary values, and more present in text.

With NER, key information is often extracted ...

Get Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.