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The numbers in the tables denote *precision/recall/F1-score*
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## Running the predictions
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The repository includes a simple Jupyter Notebook that can help with first steps when using the model. (#TODO)
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The numbers in the tables denote *precision/recall/F1-score*
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## Error Analysis
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As we think the current standard ROUGE<sub>RAW</sub> metric is not suitable enough for the summarization task (even though it is the best we have at the time), we performed also a manual error analysis of the generated summaries using human annotators. You can find more about the methodology and results in our paper referenced at the bottom of this card.
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## Running the predictions
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The repository includes a simple Jupyter Notebook that can help with first steps when using the model. (#TODO)
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