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README.md
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@@ -31,6 +31,9 @@ This **cased model** was pretrained from scratch using a custom vocabulary on th
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The pretrained model was used to do NER **as is, with no fine-tuning**. The approach is described [in this post](https://ajitrajasekharan.github.io/2021/01/02/my-first-post.html). [Towards Data Science review](https://twitter.com/TDataScience/status/1486300137366466560?s=20)
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[Github link](https://github.com/ajitrajasekharan/unsupervised_NER) to perform NER using this model in an ensemble with bert-base cased.
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The ensemble detects 69 entity subtypes (17 broad entity groups)
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The pretrained model was used to do NER **as is, with no fine-tuning**. The approach is described [in this post](https://ajitrajasekharan.github.io/2021/01/02/my-first-post.html). [Towards Data Science review](https://twitter.com/TDataScience/status/1486300137366466560?s=20)
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[App in Spaces](https://huggingface.co/spaces/ajitrajasekharan/self-supervised-ner) demonstrates this approach.
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[Github link](https://github.com/ajitrajasekharan/unsupervised_NER) to perform NER using this model in an ensemble with bert-base cased.
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The ensemble detects 69 entity subtypes (17 broad entity groups)
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