metadata
tags:
- spacy
- token-classification
language:
- en
license: mit
model-index:
- name: en_legal_ner_trf
results:
- task:
type: token-classification
name: Named Entity Recognition
dataset:
type: Named Entity Recognition
name: InLegalNER
split: Test
metrics:
- type: F1-Score
value: 90.709
name: Test F1-Score
Indian Legal Named Entity Recognition: Identifying relevant entities in an Indian legal document
| Feature | Description |
|---|---|
| Name | en_legal_ner_trf |
| Version | 3.2.0 |
| spaCy | >=3.2.2,<3.3.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | InLegalNER Train Data GitHub |
| License | MIT |
| Author | Aman Tiwari |
Label Scheme
View label scheme (14 labels for 1 components)
| Component | Labels |
|---|---|
ner |
CASE_NUMBER, COURT, DATE, GPE, JUDGE, LAWYER, ORG, OTHER_PERSON, PETITIONER, PRECEDENT, PROVISION, RESPONDENT, STATUTE, WITNESS |
Accuracy
| Type | Score |
|---|---|
| F1-Score | 90.709 |
Precision |
91.474 |
Recall |
89.956 |