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@@ -19,6 +19,8 @@ This model is released under the [Creative Commons 4.0 International License](ht
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  #### Reference
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  ```
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  @InProceedings{sugimoto_nlp2023_jmedroberta,
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  author = "杉本海人 and 壹岐太一 and 知田悠生 and 金沢輝一 and 相澤彰子",
@@ -29,6 +31,18 @@ This model is released under the [Creative Commons 4.0 International License](ht
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  }
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  ```
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  ## Datasets used for pre-training
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  - abstracts (train: 1.6GB (10M sentences), validation: 0.2GB (1.3M sentences))
 
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  #### Reference
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+ Ja:
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+
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  ```
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  @InProceedings{sugimoto_nlp2023_jmedroberta,
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  author = "杉本海人 and 壹岐太一 and 知田悠生 and 金沢輝一 and 相澤彰子",
 
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  }
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  ```
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+ En:
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+
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+ ```
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+ @InProceedings{sugimoto_nlp2023_jmedroberta,
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+ author = "Sugimoto, Kaito and Iki, Taichi and Chida, Yuki and Kanazawa, Teruhito and Aizawa, Akiko",
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+ title = "J{M}ed{R}o{BERT}a: a Japanese Pre-trained Language Model on Academic Articles in Medical Sciences (in Japanese)",
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+ booktitle = "Proceedings of the 29th Annual Meeting of the Association for Natural Language Processing",
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+ year = "2023",
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+ url = "https://www.anlp.jp/proceedings/annual_meeting/2023/pdf_dir/P3-1.pdf"
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+ }
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+ ```
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+
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  ## Datasets used for pre-training
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  - abstracts (train: 1.6GB (10M sentences), validation: 0.2GB (1.3M sentences))