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README.md
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The data was used to train `GLiNER-news`, which is a fine-tuned version of `GLiNER`, geared towared improved entity extraction on news articles. The fine-tune improved performance for nearly all benchmarks (even beyond news):
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![topic distribution](figures/zeros-
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The entity types in the dataset are limited to the following:
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The data was used to train `GLiNER-news`, which is a fine-tuned version of `GLiNER`, geared towared improved entity extraction on news articles. The fine-tune improved performance for nearly all benchmarks (even beyond news):
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![topic distribution](figures/zeros-shot_18_table_padded.png)
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The entity types in the dataset are limited to the following:
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