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Update README.md

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@@ -88,4 +88,8 @@ summarizer_pipe(conversation_data)
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  | test_rouge1 | 53.3059 |
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  | test_rouge2 | 28.355 |
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  | test_rougeL | 44.0953 |
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- | test_rougeLsum | 48.9246 |
 
 
 
 
 
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  | test_rouge1 | 53.3059 |
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  | test_rouge2 | 28.355 |
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  | test_rougeL | 44.0953 |
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+ | test_rougeLsum | 48.9246 |
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+
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+ All the metric Rouge1,2,L are computed using precison and recall then computed the F measure for these
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+ Rouge recall= no of overlaping words/total no of referenced humman annotated words
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+ Rouge precision= no of overlaping words/total no of candidate machine predicted words