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Implementation of the paper "Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters (NAACL 2021)"

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Can you describe the process of the "preprocessed and truncated data" ? In a supervised way or an unsupervised way? That means a lot to me. Thank you.

1 ROUGE-1 Average_R: 0.51184 (95%-conf.int. 0.50915 - 0.51465) 1 ROUGE-1 Average_P: 0.48108 (95%-conf.int. 0.47825 - 0.48378) 1 ROUGE-1 Average_F: 0.48576 (95%-conf.int. 0.48359 - 0.48795) --------------------------------------------- 1 ROUGE-2 Average_R: 0.19475 (95%-conf.int....

Thanks for releasing your code! Could you make publicly available the output summaries of your model. It's likely to help further research in MDS. Thanks

Hello. Do you have the data for this model? Could you please provide it? Thank you.