Universal-NER
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Update README.md
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README.md
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@@ -18,7 +18,7 @@ and define their type using a short sentence. The output should be in the follow
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[("entity", "definition of entity type in a short sentence"), ... ]
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</div>
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Check our [paper](https://arxiv.org/abs/2308.03279) for more information.
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## Comparison with [UniNER-7B-type](https://huggingface.co/Universal-NER/UniNER-7B-type)
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The UniNER-7B-type model, trained on Pile-NER-type, excels in recognizing common and short NER tags (e.g., person, location) and performs better on NER datasets. On the other hand, UniNER-7B-definition demonstrates superior capabilities in understanding short-sentence definitions of entity types. Additionally, it exhibits enhanced robustness against variations in type paraphrasing.
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[("entity", "definition of entity type in a short sentence"), ... ]
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</div>
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Check our [paper](https://arxiv.org/abs/2308.03279) for more information. Check our [repo](https://github.com/universal-ner/universal-ner) about how to use the model.
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## Comparison with [UniNER-7B-type](https://huggingface.co/Universal-NER/UniNER-7B-type)
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The UniNER-7B-type model, trained on Pile-NER-type, excels in recognizing common and short NER tags (e.g., person, location) and performs better on NER datasets. On the other hand, UniNER-7B-definition demonstrates superior capabilities in understanding short-sentence definitions of entity types. Additionally, it exhibits enhanced robustness against variations in type paraphrasing.
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