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opennyaiorg
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en_legal_ner_trf

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spaCy
English
Eval Results
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amant555 commited on
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Update Readme.md with scores

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@@ -19,7 +19,7 @@ Indian Legal Named Entity Recognition: Identifying relevant entities in an India
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  | **Default Pipeline** | `transformer`, `ner` |
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  | **Components** | `transformer`, `ner` |
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  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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- | **Sources** | n/a |
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  | **License** | `MIT` |
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  | **Author** | [Aman Tiwari](https://github.com/Legal-NLP-EkStep/legal_NER) |
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@@ -38,4 +38,6 @@ Indian Legal Named Entity Recognition: Identifying relevant entities in an India
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  ### Accuracy
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  | Type | Score |
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- | --- | --- |
 
 
 
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  | **Default Pipeline** | `transformer`, `ner` |
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  | **Components** | `transformer`, `ner` |
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  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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+ | **Sources** | [Indian Legal NER Training data](https://storage.googleapis.com/indianlegalbert/OPEN_SOURCED_FILES/NER/NER_TRAIN.zip) |
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  | **License** | `MIT` |
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  | **Author** | [Aman Tiwari](https://github.com/Legal-NLP-EkStep/legal_NER) |
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  ### Accuracy
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  | Type | Score |
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+ | Precision | 91.474 |
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+ | Recall | 89.956 |
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+ | F1-Score | 90.709 |