Token Classification
GLiNER
PyTorch
multilingual
NER
GLiNER
information extraction
encoder
entity recognition
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Update README.md

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@@ -113,7 +113,7 @@ Below you can see the table with benchmarking results on various named entity re
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  | bc4chemd | 56.8% |
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  | bc5cdr | 71.3% |
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  | ncbi | 64.9% |
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- | **Average** | **47.0%** |
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  | | |
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  | CrossNER_AI | 56.7% |
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  | CrossNER_literature | 61.5% |
 
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  | bc4chemd | 56.8% |
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  | bc5cdr | 71.3% |
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  | ncbi | 64.9% |
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+ | **Average** | **48.0%** |
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  | | |
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  | CrossNER_AI | 56.7% |
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  | CrossNER_literature | 61.5% |