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  # Pre-trained BERT on Twitter US Political Election 2020
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- Pre-trained weights for [Knowledge Enhance Masked Language Model for Stance Detection](https://2021.naacl.org/program/accepted/), NAACL 2021.
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  We use the initialized weights from BERT-base (uncased) or `bert-base-uncased`.
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  # Reference
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- - [Knowledge Enhance Masked Language Model for Stance Detection](https://2021.naacl.org/program/accepted/), NAACL 2021.
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  # Citation
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  ```bibtex
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  @inproceedings{kawintiranon2021knowledge,
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  title={Knowledge Enhanced Masked Language Model for Stance Detection},
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  author={Kawintiranon, Kornraphop and Singh, Lisa},
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- booktitle={Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)},
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  year={2021},
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- url={#}
 
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  }
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  ```
 
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  # Pre-trained BERT on Twitter US Political Election 2020
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+ Pre-trained weights for [Knowledge Enhance Masked Language Model for Stance Detection](https://www.aclweb.org/anthology/2021.naacl-main.376), NAACL 2021.
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  We use the initialized weights from BERT-base (uncased) or `bert-base-uncased`.
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  # Reference
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+ - [Knowledge Enhance Masked Language Model for Stance Detection](https://www.aclweb.org/anthology/2021.naacl-main.376), NAACL 2021.
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  # Citation
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  ```bibtex
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  @inproceedings{kawintiranon2021knowledge,
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  title={Knowledge Enhanced Masked Language Model for Stance Detection},
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  author={Kawintiranon, Kornraphop and Singh, Lisa},
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+ booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
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  year={2021},
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+ publisher={Association for Computational Linguistics},
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+ url={https://www.aclweb.org/anthology/2021.naacl-main.376}
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  }
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  ```