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@@ -67,7 +67,6 @@ Sahrawat, Dhruva, Debanjan Mahata, Haimin Zhang, Mayank Kulkarni, Agniv Sharma,
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  * This keyphrase extraction model is very dataset-specific. It's not recommended to use this model for other domains, but you are free to test it out.
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  * Only works for English documents.
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  * Large number of annotated keyphrases.
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- * For a custom model, please consult the [training notebook]() for more information.
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  ### ❓ How To Use
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  ```python
@@ -147,8 +146,6 @@ print(keyphrases)
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  You can find more information in the [paper](https://arxiv.org/abs/1306.4606).
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  ## πŸ‘·β€β™‚οΈ Training Procedure
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- For more in detail information, you can take a look at the [training notebook]().
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-
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  ### Training Parameters
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  | Parameter | Value |
@@ -264,7 +261,5 @@ The model achieves the following results on the Inspec test set:
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  |:-----------------:|:----:|:----:|:----:|:----:|:----:|:-----:|:----:|:----:|:----:|
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  | Inspec Test Set | 0.47 | 0.07 | 0.12 | 0.46 | 0.13 | 0.20 | 0.37 | 0.33 | 0.33 |
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- For more information on the evaluation process, you can take a look at the keyphrase extraction [evaluation notebook]().
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-
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  ## 🚨 Issues
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  Please feel free to start discussions in the Community Tab.
 
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  * This keyphrase extraction model is very dataset-specific. It's not recommended to use this model for other domains, but you are free to test it out.
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  * Only works for English documents.
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  * Large number of annotated keyphrases.
 
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  ### ❓ How To Use
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  ```python
 
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  You can find more information in the [paper](https://arxiv.org/abs/1306.4606).
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  ## πŸ‘·β€β™‚οΈ Training Procedure
 
 
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  ### Training Parameters
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  | Parameter | Value |
 
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  |:-----------------:|:----:|:----:|:----:|:----:|:----:|:-----:|:----:|:----:|:----:|
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  | Inspec Test Set | 0.47 | 0.07 | 0.12 | 0.46 | 0.13 | 0.20 | 0.37 | 0.33 | 0.33 |
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  ## 🚨 Issues
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  Please feel free to start discussions in the Community Tab.