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