Feature |
Description |
Note |
Name |
en_kyc_nerre |
|
Version |
0.0.0 |
test run, official version will start from 1.xx.xx |
spaCy |
>=3.6.1,<3.7.0 |
|
Default Pipeline |
transformer , ner |
|
Components |
transformer , ner |
|
Vectors |
0 keys, 0 unique vectors (0 dimensions) |
|
Sources |
n/a |
|
License |
n/a |
|
Author |
hjiangAnthony |
|
Purpose
Identifying PERSON, CRIME, and PROCECUTION entities; supporting relation extraction for the next step
Label Scheme
View label scheme (3 labels for 1 components)
Component |
Labels |
ner |
CRIME , PERSON , PROCECUTION |
Accuracy
Type |
Score |
ENTS_F |
73.68 |
ENTS_P |
68.63 |
ENTS_R |
79.55 |
TRANSFORMER_LOSS |
12977.28 |
NER_LOSS |
94024.87 |