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@@ -27,7 +27,7 @@ Here you can find NER models for Fusion project!
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  | **DICTA_basic_NER** | Training the [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) model on the [basic](https://huggingface.co/datasets/FusioNER/Basic) IAHALT dataset| [FusioNER/DICTA_basic](https://huggingface.co/FusioNER/DICTA_basic) | IAHALT | [FusioNER/Basic](https://huggingface.co/datasets/FusioNER/Basic) | [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) | classic[4]
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  | **DICTA_smart_NER** | Training the [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) model on IAHALT + Name-Sentences[1] + Entity-Injection[2]] [dataset](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [FusioNER/DICTA_Smart](https://huggingface.co/FusioNER/DICTA_Smart) | IAHALT | [FusioNER/Smart_Injection](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) | classic[4]
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  | **DICTA_Large_Smart** | Training the [DICTA Large](https://huggingface.co/dicta-il/dictabert-large) model on IAHALT + Name-Sentences[1] + Entity-Injection[2]] [dataset](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [FusioNER/Dicta_Large_Smart](https://huggingface.co/FusioNER/Dicta_Large_Smart) | IAHALT | [FusioNER/Smart_Injection](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [DICTA Large](https://huggingface.co/dicta-il/dictabert-large) | classic[4]
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- | **TEC_NER** | Basic technology NER model | model path | TEC_NER | (https://huggingface.co/datasets/FusioNER/tec_ner/tree/main) | base model | technology
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  [1] **Name-Sentences**: Adding to the corpus sentences that contain only the entity we want the network to learn.
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  [2] **Entity-Injection**: Replace a tagged entity in the original corpus with a new entity. By using, this method, the model can learn new entities (not labels!) which the model not extracted before.
 
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  | **DICTA_basic_NER** | Training the [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) model on the [basic](https://huggingface.co/datasets/FusioNER/Basic) IAHALT dataset| [FusioNER/DICTA_basic](https://huggingface.co/FusioNER/DICTA_basic) | IAHALT | [FusioNER/Basic](https://huggingface.co/datasets/FusioNER/Basic) | [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) | classic[4]
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  | **DICTA_smart_NER** | Training the [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) model on IAHALT + Name-Sentences[1] + Entity-Injection[2]] [dataset](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [FusioNER/DICTA_Smart](https://huggingface.co/FusioNER/DICTA_Smart) | IAHALT | [FusioNER/Smart_Injection](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [DICTA-ner](https://huggingface.co/dicta-il/dictabert-ner) | classic[4]
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  | **DICTA_Large_Smart** | Training the [DICTA Large](https://huggingface.co/dicta-il/dictabert-large) model on IAHALT + Name-Sentences[1] + Entity-Injection[2]] [dataset](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [FusioNER/Dicta_Large_Smart](https://huggingface.co/FusioNER/Dicta_Large_Smart) | IAHALT | [FusioNER/Smart_Injection](https://huggingface.co/datasets/FusioNER/Smart_Injection) | [DICTA Large](https://huggingface.co/dicta-il/dictabert-large) | classic[4]
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+ | **TEC_NER** | Basic technology NER model | model path | TEC_NER | https://huggingface.co/datasets/FusioNER/tec_ner/tree/main | base model | technology
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  [1] **Name-Sentences**: Adding to the corpus sentences that contain only the entity we want the network to learn.
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  [2] **Entity-Injection**: Replace a tagged entity in the original corpus with a new entity. By using, this method, the model can learn new entities (not labels!) which the model not extracted before.