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https://github.com/tonytan48/Re-DocRED
https://github.com/tonytan48/Re-DocRED
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- Host: GitHub
- URL: https://github.com/tonytan48/Re-DocRED
- Owner: tonytan48
- License: mit
- Created: 2022-05-22T12:27:09.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-08-21T08:15:07.000Z (over 1 year ago)
- Last Synced: 2024-08-03T09:07:17.246Z (5 months ago)
- Language: Python
- Size: 5.88 MB
- Stars: 45
- Watchers: 2
- Forks: 3
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- StarryDivineSky - tonytan48/Re-DocRED
README
# Re-DocRED Dataset
This repository contains the dataset of our EMNLP 2022 research paper [Revisiting DocRED – Addressing the False Negative Problem
in Relation Extraction](https://arxiv.org/pdf/2205.12696.pdf).DocRED is a widely used benchmark for document-level relation extraction. However, the DocRED dataset contains a significant percentage of false negative examples (incomplete annotation). We revised 4,053 documents in the DocRED dataset and resolved its problems. We released this dataset as: Re-DocRED dataset.
The Re-DocRED Dataset resolved the following problems of DocRED:
1. Resolved the incompleteness problem by supplementing large amounts of relation triples.
2. Addressed the logical inconsistencies in DocRED.
3. Corrected the coreferential errors within DocRED.# Statistics of Re-DocRED
The Re-DocRED dataset is located as ./data directory, the statistics of the dataset are shown below:| | Train | Dev | Test |
| :---: | :-: | :-: |:-: |
| # Documents | 3,053 | 500 | 500 |
| Avg. # Triples | 28.1 | 34.6 | 34.9 |
| Avg. # Entities | 19.4 | 19.4 | 19.6 |
| Avg. # Sents | 7.9 | 8.2 | 7.9 |# Citation
If you find our work useful, please cite our work as:
```bibtex
@inproceedings{tan2022revisiting,
title={Revisiting DocRED – Addressing the False Negative Problem in Relation Extraction},
author={Tan, Qingyu and Xu, Lu and Bing, Lidong and Ng, Hwee Tou and Aljunied, Sharifah Mahani},
booktitle={Proceedings of EMNLP},
url={https://arxiv.org/abs/2205.12696},
year={2022}
}
```