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  # DialogRPT-depth
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  ### Dialog Ranking Pretrained Transformers
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- ### Examples:
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- The `depth` score predicts how likely the response is getting a long follow-up discussion thread.
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- Examples below can be reproduced with this [Colab Notebook](https://colab.research.google.com/drive/1cAtfkbhqsRsT59y3imjR1APw3MHDMkuV?usp=sharing)
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- | Context | Response | `depth` score |
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- | :------ | :------- | :------------: |
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- | I love NLP! | Can anyone recommend a nice review paper? | 0.724 |
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- | I love NLP! | Me too! | 0.032 |
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  ### Contact:
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  Please create an issue on [our repo](https://github.com/golsun/DialogRPT)
 
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+ # Demo
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+ Please try this [➤➤➤ Colab Notebook Demo (click me!)](https://colab.research.google.com/drive/1cAtfkbhqsRsT59y3imjR1APw3MHDMkuV?usp=sharing)
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+ | Context | Response | `depth` score |
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+ | :------ | :------- | :------------: |
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+ | I love NLP! | Can anyone recommend a nice review paper? | 0.724 |
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+ | I love NLP! | Me too! | 0.032 |
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+ The `depth` score predicts how likely the response is getting a long follow-up discussion thread.
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  # DialogRPT-depth
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  ### Dialog Ranking Pretrained Transformers
 
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  ### Contact:
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  Please create an issue on [our repo](https://github.com/golsun/DialogRPT)