Anja Reusch
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README.md
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---
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language:
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- en
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tags:
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- mathematics
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- math-aware
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datasets:
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- MathematicalStackExchange
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---
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# Math-aware RoBERTa
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This repository contains our pre-trained RoBERTa-based model for ARQMath 3. It was initialised from RoBERTa-base and further pre-trained on Math StackExchange in only one stage. We also added more LaTeX tokens to the tokenizer to enable a better tokenization of mathematical formulas. This model is not yet fine-tuned on a specific task.
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For further details, please read our paper: http://ceur-ws.org/Vol-3180/paper-07.pdf.
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# Usage
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You can use this model to further fine-tune it on any math-aware task you have in mind, e.g., classification, question-answering, etc. . Please note, that the model in this repository is only pre-trained and not fine-tuned.
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# Citation
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If you find this model useful, consider citing our paper:
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```
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@article{reusch2022transformer,
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title={Transformer-Encoder and Decoder Models for Questions on Math},
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author={Reusch, Anja and Thiele, Maik and Lehner, Wolfgang},
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year={2022},
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organization={CLEF}
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}
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```
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