Token Classification
GLiNER
PyTorch
multilingual
Ihor commited on
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Update README.md

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@@ -234,7 +234,7 @@ Below is a comparison of results between previous versions of the model and the
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  | | ncbi | 69.54% | 52.25% | 59.67% |
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  | | **Average** | | | **43.89%** |
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  |-----------------------------------------|---------------------|-----------|--------|----------|
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- | EmergenMethods/fliner_news_large-v2.1 | ACE 2004 | 43.19% | 18.39% | 25.80% |
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  | | ACE 2005 | 45.24% | 21.20% | 28.87% |
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  | | AnatEM | 61.51% | 21.66% | 32.04% |
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  | | Broad Tweet Corpus | 69.38% | 68.99% | 69.18% |
@@ -255,26 +255,26 @@ Below is a comparison of results between previous versions of the model and the
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  | | ncbi | 70.17% | 61.44% | 65.52% |
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  | | **Average** | | | **47.00%** |
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  |-----------------------------------------|---------------------|-----------|--------|----------|
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- | gliner-community/gliner_xxl-v2.5 | ACE 2004 | | | 29.90% |
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  | | ACE 2005 | | | 31.90% |
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- | | AnatEM | | | 27.50% |
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- | | Broad Tweet Corpus | | | 67.90% |
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- | | CoNLL 2003 | | | 66.80% |
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- | | FabNER | | | 25.90% |
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- | | FindVehicle | | | 49.00% |
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- | | GENIA_NER | | | 53.90% |
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- | | HarveyNER | | | 26.40% |
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- | | MultiNERD | | | 60.60% |
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- | | Ontonotes | | | 28.40% |
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- | | PolyglotNER | | | 42.00% |
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- | | TweetNER7 | | | 40.90% |
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- | | WikiANN en | | | 56.80% |
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- | | WikiNeural | | | 72.20% |
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- | | bc2gm | | | 48.60% |
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- | | bc4chemd | | | 50.10% |
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- | | bc5cdr | | | 71.20% |
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- | | ncbi | | | 67.10% |
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- | | **Average** | | | **48.30%** |
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  |-----------------------------------------|---------------------|-----------|--------|----------|
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  ## Other available models
 
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  | | ncbi | 69.54% | 52.25% | 59.67% |
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  | | **Average** | | | **43.89%** |
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  |-----------------------------------------|---------------------|-----------|--------|----------|
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+ | EmergenMethods/gliner_news_large-v2.1 | ACE 2004 | 43.19% | 18.39% | 25.80% |
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  | | ACE 2005 | 45.24% | 21.20% | 28.87% |
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  | | AnatEM | 61.51% | 21.66% | 32.04% |
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  | | Broad Tweet Corpus | 69.38% | 68.99% | 69.18% |
 
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  | | ncbi | 70.17% | 61.44% | 65.52% |
256
  | | **Average** | | | **47.00%** |
257
  |-----------------------------------------|---------------------|-----------|--------|----------|
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+ | gliner-community/gliner-community-v2.5 | ACE 2004 | | | 29.80% |
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  | | ACE 2005 | | | 31.90% |
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+ | | AnatEM | | | 26.40% |
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+ | | Broad Tweet Corpus | | | 71.60% |
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+ | | CoNLL 2003 | | | 66.70% |
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+ | | FabNER | | | 27.40% |
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+ | | FindVehicle | | | 49.90% |
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+ | | GENIA_NER | | | 57.20% |
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+ | | HarveyNER | | | 29.40% |
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+ | | MultiNERD | | | 61.40% |
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+ | | Ontonotes | | | 28.10% |
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+ | | PolyglotNER | | | 43.50% |
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+ | | TweetNER7 | | | 42.00% |
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+ | | WikiANN en | | | 56.40% |
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+ | | WikiNeural | | | 75.70% |
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+ | | bc2gm | | | 47.80% |
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+ | | bc4chemd | | | 50.00% |
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+ | | bc5cdr | | | 71.10% |
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+ | | ncbi | | | 65.00% |
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+ | | **Average** | | | **49.00%** |
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  |-----------------------------------------|---------------------|-----------|--------|----------|
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  ## Other available models