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科学预训练模型

科学预训练模型

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Earth and Nature,Health,NLP,Text Data,Healthcare,spaCy Classification

数据结构 ? 586.45M

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    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Context Models related to using spaCy for scientific documents. Content Model Description en_core_sci_sm A full spaCy pipeline for biomedical data. en_core_sci_md A full spaCy pipeline for biomedical data with a larger vocabulary and word vectors. en_ner_craft_md A spaCy NER model trained on the CRAFT corpus. en_ner_jnlpba_md A spaCy NER model trained on the JNLPBA corpus. en_ner_bc5cdr_md A spaCy NER model trained on the BC5CDR corpus. en_ner_bionlp13cg_md A spaCy NER model trained on the BIONLP13CG corpus. Acknowledgements https://github.com/allenai/scispacy https://github.com/allenai/scispacy/blob/master/LICENSE License: Apache License 2.0 ScispaCy is an open-source project developed by the Allen Institute for Artificial Intelligence (AI2). AI2 is a non-profit institute with the mission to contribute to humanity through high-impact AI research and engineering. Banner Photo by [rawpixel on Unsplash][1] [1]: https://unsplash.com/photos/9K_tJ7dxYSU?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText
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