| tags: | |
| - spacy | |
| - token-classification | |
| language: | |
| - en | |
| license: mit | |
| model-index: | |
| - name: en_legal_ner_trf | |
| results: [] | |
| 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** | n/a | | |
| | **License** | `MIT` | | |
| | **Author** | [Aman Tiwari](https://github.com/Legal-NLP-EkStep/legal_NER) | | |
| ### Label Scheme | |
| <details> | |
| <summary>View label scheme (14 labels for 1 components)</summary> | |
| | Component | Labels | | |
| | --- | --- | | |
| | **`ner`** | `CASE_NUMBER`, `COURT`, `DATE`, `GPE`, `JUDGE`, `LAWYER`, `ORG`, `OTHER_PERSON`, `PETITIONER`, `PRECEDENT`, `PROVISION`, `RESPONDENT`, `STATUTE`, `WITNESS` | | |
| </details> | |
| ### Accuracy | |
| | Type | Score | | |
| | --- | --- | | |