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This function uses spaCy's EntityRuler to create a simple entity rule for a given text. It first loads the English model, then creates an EntityRuler instance, and adds a pattern to identify personal names in the text. Finally, it saves the rules to disk.
Technology Stack : spaCy
Code Type : Function
Code Difficulty : Intermediate
import spacy
from spacy.pipeline import EntityRuler
import random
def create_entity_rules(text):
"""
This function creates a simple entity ruler for a given text using spaCy.
"""
nlp = spacy.load('en_core_web_sm')
ruler = EntityRuler(nlp)
pattern = [{"label": "PERSON", "pattern": text}]
ruler.add_pattern(pattern)
ruler.to_disk('entity_ruler_model')
return ruler