Custom entity tagging with spaCy's EntityRuler

custom_ner.py

import spacy
from spacy.pipeline import EntityRuler
from spacy import displacy

# load pre-trained model pipeline
nlp = spacy.load('en_core_web_sm')

# sentence for grammar rules
text = """He does not eat meat, but he loves Beyond Burgers."""

# rules for a custom named entity
# overwrite to ensure your rules take precedence when 
# tokens could be tagged with multiple entities
ruler = EntityRuler(nlp, overwrite_ents=True)
ruler.add_patterns([
    {"label": "BEYONDPRODUCT", "pattern": [
        {"LOWER": "beyond"}, {"LOWER": "meat"}
    ]},
    {"label": "BEYONDPRODUCT", "pattern": [
        {"LOWER": "beyond"}, {"LOWER": "burgers"}
    ]},
    {"label": "BEYONDPRODUCT", "pattern": [
        {"LOWER": "beyond"}, {"LOWER": "sausage"}
    ]},
    {"label": "BEYONDPRODUCT", "pattern": [
        {"TEXT": "Beyond"}
    ]},
])
nlp.add_pipe(ruler)

# apply pipeline
doc = nlp(text)

# display
displacy.render(doc, style='ent', jupyter=True)