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taln-ls2n
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kpbiomed

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Text Generation

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MHoubre commited on Dec 1, 2022

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@@ -26,7 +26,7 @@ pretty_name: KP-Biomed
 This dataset is made of 5.6 million abstracts with author assigned keyphrases.
 Details about the dataset can be found in the original paper:
-Maël Houbre, Florian Boudin and Béatrice Daille. 2022. A Large-Scale Dataset for Biomedical Keyphrase Generation. In Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (LOUHI 2022).
 Reference (author-assigned) keyphrases are also categorized under the PRMU (<u>P</u>resent-<u>R</u>eordered-<u>M</u>ixed-<u>U</u>nseen) scheme as proposed in the following paper:

 This dataset is made of 5.6 million abstracts with author assigned keyphrases.
 Details about the dataset can be found in the original paper:
+Maël Houbre, Florian Boudin and Béatrice Daille. 2022. [A Large-Scale Dataset for Biomedical Keyphrase Generation](https://arxiv.org/abs/2211.12124). In Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (LOUHI 2022).
 Reference (author-assigned) keyphrases are also categorized under the PRMU (<u>P</u>resent-<u>R</u>eordered-<u>M</u>ixed-<u>U</u>nseen) scheme as proposed in the following paper: