NER

Making sense of news content through named entity recognition

Text to parse
NLP service provider
Language
Model
English multi-task CNN (convolutional neural network) trained on OntoNotes.
Entity types

This prototype performs NER (named entity recognition) using a natural language processing library called spaCy and the en-core-sm english language model. NER is the task of identifying named entities, such as people, places, and organizations, in a given text.