Fusion NER Models
Here you can find our NER models:
| model name | model description | model path | datasets |
|---|---|---|---|
| Basic | Basic training on IAHALT | https://huggingface.co/FusioNER/Basic_IAHALT | IAHALT |
| Vitaly | Vitaly training on IAHALT (with BI-BI problem) | https://huggingface.co/FusioNER/Vitaly_NER | IAHALT |
| Name-Sentences | Training on IAHALT + Name-Sentences[1] | https://huggingface.co/FusioNER/Name-Sentences | IAHALT |
| Entity-Injection | Training on IAHALT + Entity-Injection[2] | https://huggingface.co/FusioNER/Entity-Injection | IAHALT |
| Smart_Injection | Training on IAHALT + Name-Sentences[1] + Entity-Injection[2] | https://huggingface.co/FusioNER/Smart_Injection | IAHALT |
| NEMO | Basic training on NEMO dataset | https://huggingface.co/FusioNER/Nemo | NEMO |
| IAHALT_and_NEMO | Basic training on IAHALT + NEMO | https://huggingface.co/FusioNER/IAHALT_and_NEMO | IAHALT + NEMO |
| IAHALT_and_NEMO_PP | Training on IAHALT + NEMO + Name-Sentences[1] + Entity-Injection[2] | https://huggingface.co/FusioNER/IAHALT_and_NEMO_and_PP | IAHALT + NEMO |
| Animals | Training on IAHALT + Entity-Injection[2] (of animals names as PER entities) | https://huggingface.co/FusioNER/Animals | IAHALT |
| PRS-Injection | Training on IAHALT + Entity-Injection[2] (of PRS names as PER entities) | https://huggingface.co/FusioNER/PRS-Injection | IAHALT |
[1] Name-Sentences: Adding to the corpus sentences that contain only the entity we want the network to learn.
[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.