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The official implementation of the paper "Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset"(ICASSP 2023)

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The official implementation of the paper "Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset"(ICASSP 2023)

This is the official implementation of the following paper:

Jiexing Qi and Shuhao Li and Zhixin Guo and Yusheng Huang and Chenghu Zhou and Weinan Zhang and Xinbing Wang and Zhouhan Lin. Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset. The 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023).

If you use this code, please cite:

@article{Qi2023Text,
  title={Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset},
  author={Jiexing Qi and Shuhao Li and Zhixin Guo and Yusheng Huang and Chenghu Zhou and Weinan Zhang and Xinbing Wang and Zhouhan Lin},
  journal={ArXiv},
  year={2023},
}

Leaderboard and Project Page

The official leaderboard and project page can be viewed at https://lot-insts.github.io/

Acknowledgements

We would like to thank Dawei Yu for his help for our code repository.

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The official implementation of the paper "Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset"(ICASSP 2023)

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