Token Classification
GLiNER
PyTorch
multilingual
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Update README.md

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@@ -254,6 +254,28 @@ Below is a comparison of results between previous versions of the model and the
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  | | bc5cdr | 71.94% | 70.37% | 71.15% |
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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-community-v2.5 | ACE 2004 | | | 29.80% |
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  | | ACE 2005 | | | 31.90% |
 
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  | | bc5cdr | 71.94% | 70.37% | 71.15% |
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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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+ | numind/NuNER_Zero-span | ACE 2004 | 37.15% | 20.01% | 26.01% |
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+ | | ACE 2005 | 34.93% | 17.87% | 23.64% |
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+ | | AnatEM | 62.78% | 20.19% | 30.55% |
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+ | | Broad Tweet Corpus | 51.75% | 71.76% | 60.13% |
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+ | | CoNLL 2003 | 58.11% | 70.34% | 63.64% |
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+ | | FabNER | 35.56% | 18.17% | 24.05% |
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+ | | FindVehicle | 51.19% | 38.75% | 44.11% |
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+ | | GENIA_NER | 59.98% | 48.49% | 53.63% |
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+ | | HarveyNER | 26.57% | 23.36% | 24.86% |
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+ | | MultiNERD | 50.47% | 87.06% | 63.90% |
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+ | | Ontonotes | 26.65% | 38.68% | 31.56% |
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+ | | PolyglotNER | 31.19% | 68.13% | 42.79% |
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+ | | TweetNER7 | 47.40% | 34.45% | 39.90% |
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+ | | WikiANN en | 55.81% | 60.65% | 58.13% |
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+ | | WikiNeural | 61.93% | 86.89% | 72.31% |
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+ | | bc2gm | 63.75% | 44.22% | 52.22% |
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+ | | bc4chemd | 43.21% | 63.35% | 51.37% |
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+ | | bc5cdr | 66.99% | 72.00% | 69.40% |
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+ | | ncbi | 70.20% | 53.92% | 60.99% |
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+ | | **Average** | | | **47.00%** |
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+
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  |-----------------------------------------|---------------------|-----------|--------|----------|
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  | gliner-community/gliner-community-v2.5 | ACE 2004 | | | 29.80% |
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  | | ACE 2005 | | | 31.90% |