universal information extraction named entity recognition relation extraction event extraction aspect-based sentiment analysis arxiv:2502.12614 license:apache-2.0 region:us
---
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)

