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+ ---
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+ language:
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+ - en
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+ tags:
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+ - Machine Learning
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+ - Research Papers
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+ - Scientific Language Model
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+ ---
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+
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+ ## How to use:
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+ ```
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+ from transformers import AutoTokenizer, AutoModel
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+ tok = AutoTokenizer.from_pretrained('shrutisingh/MLRoBERTa')
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+ model = AutoModel.from_pretrained('shrutisingh/MLRoBERTa')
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+ ```
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+
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+ ## Pretraining Details:
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+ This is a RoBERTa model trained on scientific documents. The dataset is composed of NeurIPS (1987-2019), CVPR (2013-2020), ICLR (2016-2020), ACL Anthology data (till 2019) paper title and abstracts, and ICLR paper reviews.
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+
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+ ## Citation:
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+ ```
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+ @inproceedings{singh2021compare,
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+ title={COMPARE: a taxonomy and dataset of comparison discussions in peer reviews},
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+ author={Singh, Shruti and Singh, Mayank and Goyal, Pawan},
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+ booktitle={2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)},
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+ pages={238--241},
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+ year={2021},
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+ organization={IEEE}
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+ }
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+ ```