Generating Random Entity Recognition Patterns with spaCy#s EntityRuler

This function uses spaCy's EntityRuler to generate a set of random entity recognition patterns and returns an entity ruler object. The entity patterns include PERSON, ORGANIZATION, GPE, and DATE.

Technology Stack : spaCy

Code Type : Custom function

Code Difficulty : Intermediate

                
                    
import random
import spacy
from spacy.pipeline import EntityRuler

def generate_random_entity_patterns():
    nlp = spacy.load("en_core_web_sm")
    entity_ruler = EntityRuler(nlp)
    patterns = [
        {"label": "PERSON", "pattern": "John Doe"},
        {"label": "ORGANIZATION", "pattern": "Google Inc."},
        {"label": "GPE", "pattern": "New York"},
        {"label": "DATE", "pattern": "2021-12-01"}
    ]
    entity_ruler.add_patterns(patterns)
    return entity_ruler