declassifai_ner_pii

A spaCy NER model.

Installation

pip install https://huggingface.co/yasin9999/declassifai_ner_pii/resolve/main/declassifai_ner_pii-1.0.0-py3-none-any.whl

Usage

import spacy

nlp = spacy.load("declassifai_ner_pii")
doc = nlp("Your text here")

for ent in doc.ents:
    print(ent.text, ent.label_)

Model Details

• Language: nb
• Pipeline: tok2vec, ner
• Version: 1.0.0

Label Scheme

tok2vec

ner

• CONTEXT_SENSITIVE
• CRIMINAL_RECORD
• DATE_TIME
• EMAIL_ADDRESS
• EMPLOYMENT_INFO
• EVENT
• FAMILY_RELATION
• FINANCIAL_INFO
• GOV_ID
• HEALTH_INFO
• IDENTIFIABLE_IMAGE
• LOC
• MISC
• NO_ADDRESS
• NO_PHONE_NUMBER
• ORG
• PERSON
• POLITICAL_CASE
• POSTAL_CODE
• PRODUCT
• SEXUAL_ORIENTATION

Evaluation

Metric	Score
ents_f	0.7164
ents_p	0.7060
ents_r	0.7271
ents_per_type	{'PERSON': {'p': 0.8745454545, 'r': 0.7872340426, 'f': 0.8285960379}, 'ORG': {'p': 0.7494407159, 'r': 0.8292079208, 'f': 0.7873090482}, 'PRODUCT': {'p': 0.7333333333, 'r': 0.3395061728, 'f': 0.4641350211}, 'MISC': {'p': 0.813559322, 'r': 0.6075949367, 'f': 0.6956521739}, 'LOC': {'p': 0.2945736434, 'r': 0.6972477064, 'f': 0.4141689373}, 'DATE_TIME': {'p': 0.0, 'r': 0.0, 'f': 0.0}, 'FAMILY_RELATION': {'p': 0.0, 'r': 0.0, 'f': 0.0}, 'POLITICAL_CASE': {'p': 0.0, 'r': 0.0, 'f': 0.0}, 'EVENT': {'p': 0.5714285714, 'r': 0.4444444444, 'f': 0.5}, 'HEALTH_INFO': {'p': 0.0, 'r': 0.0, 'f': 0.0}, 'SEXUAL_ORIENTATION': {'p': 0.0, 'r': 0.0, 'f': 0.0}, 'CONTEXT_SENSITIVE': {'p': 0.0, 'r': 0.0, 'f': 0.0}, 'EMPLOYMENT_INFO': {'p': 0.0, 'r': 0.0, 'f': 0.0}, 'EMAIL_ADDRESS': {'p': 0.0, 'r': 0.0, 'f': 0.0}}
tok2vec_loss	15093.0559
ner_loss	28938.1309