PaDaS-Lab/gdpr-privacy-policy-ner

Example use:

from transformers import pipeline
from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("PaDaS-Lab/gdpr-privacy-policy-ner", use_auth_token="AUTH_TOKEN")
model = AutoModelForTokenClassification.from_pretrained("PaDaS-Lab/gdpr-privacy-policy-ner", use_auth_token="AUTH_TOKEN")

ner = pipeline("ner", model=model, tokenizer=tokenizer)
example = "We do not knowingly collect personal information from anyone under 16. We may limit how we collect, use and store some of the information of EU or EEA users between ages 13 and 16."

results = ner(example)
print(results)

Classes:

Following are the 33 NER annotations in accordance with GDPR:

Abbreviation	Class
DC	Data Controller
DP	Data Processor
DPO	Data Protection Officer
R	Recipient
TP	Third Party
A	Authority
DS	Data Subject
DSO	Data Source
RP	Required Purpose
NRP	Not-Required Purpose
P	Processing
NPD	Non-Personal Data
PD	Personal Data
OM	Organisational Measure
TM	Technical Measure
LB	Legal Basis
CONS	Consent
CONT	Contract
LI	Legitimate Interest
ADM	Automated Decision Making
RET	Retention
SEU	Scale EU
SNEU	Scale Non-EU
RI	Right
DSR15	Art. 15 Right of access by the data subject
DSR16	Art. 16 Right to rectification
DSR17	Art. 17 Right to erasure ("right to be forgotten")
DSR18	Art. 18 Right to restriction of processing
DSR19	Art. 19 Notification obligation regarding rectification or erasure of personal data or restriction of processing
DSR20	Art. 20 Right to data portability
DSR21	Art. 21 Right to object
DSR22	Art. 22 Automated individual decision-making, including profiling
LC	Lodge Complaint

Performance: