| 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 |
