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README.md
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# MaterialsBERT
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This model is a fine-tuned version of [PubMedBERT model](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on a dataset of 2.4 million materials science abstracts.
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It was introduced in [this](https://
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## Model description
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If you find MaterialsBERT useful in your research, please cite the following paper:
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```latex
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@
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}
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```
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# MaterialsBERT
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This model is a fine-tuned version of [PubMedBERT model](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on a dataset of 2.4 million materials science abstracts.
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It was introduced in [this](https://www.nature.com/articles/s41524-023-01003-w) paper. This model is uncased.
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## Model description
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If you find MaterialsBERT useful in your research, please cite the following paper:
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```latex
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@article{materialsbert,
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title={A general-purpose material property data extraction pipeline from large polymer corpora using natural language processing},
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author={Shetty, Pranav and Rajan, Arunkumar Chitteth and Kuenneth, Chris and Gupta, Sonakshi and Panchumarti, Lakshmi Prerana and Holm, Lauren and Zhang, Chao and Ramprasad, Rampi},
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journal={npj Computational Materials},
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volume={9},
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number={1},
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pages={52},
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year={2023},
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publisher={Nature Publishing Group UK London}
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}
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```
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