bert_ner

Named Entity Recognition Using Bert

input

A SENTENCE.

output

Whether the word is a named entity.

Label	Detail
O	Outside of a named entity B-MIS
B-MIS	Beginning of a miscellaneous entity right after another miscellaneous entity
I-MIS	Miscellaneous entity
B-PER	Beginning of a person’s name right after another person’s name
I-PER	Person’s name
B-ORG	Beginning of an organisation right after another organisation
I-ORG	Organisation
B-LOC	eginning of a location right after another location
I-LOC	Location

Usage

Set the SENTENCE as an argument.

$ python3 bert_ner.py -i "My name is bert"
...
Input :  My name is bert
Output :  [{'word': 'be', 'score': 0.9467903971672058, 'entity': 'I-PER', 'index': 4}, {'word': '##rt', 'score': 0.8386904001235962, 'entity': 'I-PER', 'index': 5}]

Reference

transformers

onnx-transformers

Framework

PyTorch 1.6.0

Model Format

ONNX opset = 11

Netron

• bert-large-cased-finetuned-conll03-english.onnx.prototxt