satyaalmasian
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Update README.md
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README.md
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@@ -15,7 +15,7 @@ B-DURATION -- beginning tag of duration
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I-SET -- inside tag of the set
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B-SET -- beginning tag of the set
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This model is similar to `satyaalmasian/temporal_tagger_BERT_tokenclassifier ` but contains an additional date embedding layer for the reference date of the document. If you data contains such information, this model is preferred.
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# Intended uses & limitations
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This model is best used accompanied with code from the [repository](https://github.com/satya77/Transformer_Temporal_Tagger). Especially for inference, the direct output might be noisy and hard to decipher, in the repository we provide alignment functions and voting strategies for the final output.
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I-SET -- inside tag of the set
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B-SET -- beginning tag of the set
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```
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This model is similar to `satyaalmasian/temporal_tagger_BERT_tokenclassifier ` but contains an additional date embedding layer for the reference date of the document. If you data contains such information, this model is preferred. This model can not be used out of the box with hugginface models and needs the code from the accompanying [repository](https://github.com/satya77/Transformer_Temporal_Tagger).
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# Intended uses & limitations
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This model is best used accompanied with code from the [repository](https://github.com/satya77/Transformer_Temporal_Tagger). Especially for inference, the direct output might be noisy and hard to decipher, in the repository we provide alignment functions and voting strategies for the final output.
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