Daniele Licari commited on
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Update README.md

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@@ -116,4 +116,11 @@ model_name = 'dbmdz/bert-base-italian-xxl-cased'
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  plot_similarity(sent, model_name)
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  ```
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  The similarity is shown in a heat map. The final graph is a 3x3 matrix in which each entry [i, j] is colored according to the cosine similarity of the encodings for sentences i and j
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- <img src="https://huggingface.co/dlicari/Italian-Legal-BERT/resolve/main/semantic_text_similarity.jpg" width="700"/>
 
 
 
 
 
 
 
 
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  plot_similarity(sent, model_name)
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  ```
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  The similarity is shown in a heat map. The final graph is a 3x3 matrix in which each entry [i, j] is colored according to the cosine similarity of the encodings for sentences i and j
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+ <img src="https://huggingface.co/dlicari/Italian-Legal-BERT/resolve/main/semantic_text_similarity.jpg" width="700"/>
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+
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+ <h2> Citation </h2>
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+ If you find our resource or paper is useful, please consider including the following citation in your paper.
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+ ```
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+ @inproceedings{
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+ }
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+ ```