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# DialogRPT-width
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### Dialog Ranking Pretrained Transformers
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### Examples:
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The `width` score predicts how likely the response is getting replied.
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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 | `width` score |
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| :------ | :------- | :------------: |
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| I love NLP! | Can anyone recommend a nice review paper? | 0.701 |
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| I love NLP! | Me too! | 0.029 |
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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 | `width` score |
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| :------ | :------- | :------------: |
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| I love NLP! | Can anyone recommend a nice review paper? | 0.701 |
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| I love NLP! | Me too! | 0.029 |
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The `width` score predicts how likely the response is getting replied.
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# DialogRPT-width
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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)
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