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--- |
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license: apache-2.0 |
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tags: |
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- universal information extraction |
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- named entity recognition |
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- relation extraction |
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- event extraction |
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- aspect-based sentiment analysis |
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--- |
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<div align="center"> |
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<strong>LDNet: Label Drop for Multi-Aspect Relation Modeling in Universal Information |
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Extraction</strong> |
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<a href='https://github.com/Lu-Yang666/LDNet'> |
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<img src='https://img.shields.io/badge/Github-Repository-2E8B57'> |
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</a> |
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<a href='https://arxiv.org/abs/2502.12614'> |
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<img src='https://img.shields.io/badge/Paper-PDF-FF8C00'> |
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</a> |
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</div> |
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## Brief Introduction |
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This repository contains the model checkpoint of LDNet. |
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## Citation |
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If you find our model, code, or paper helpful, please consider citing our work: |
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```bibtex |
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@misc{yang2025labeldropmultiaspectrelation, |
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title={Label Drop for Multi-Aspect Relation Modeling in Universal Information Extraction}, |
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author={Lu Yang and Jiajia Li and En Ci and Lefei Zhang and Zuchao Li and Ping Wang}, |
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year={2025}, |
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eprint={2502.12614}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2502.12614}, |
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} |
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``` |
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## Links |
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- **Github**: [LDNet](https://github.com/Lu-Yang666/LDNet) |
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- **Paper**: [arXiv:2502.12614](https://arxiv.org/abs/2502.12614) |
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