kargaranamir/HengamCorpus

---
license: mit
language:
- fa
pretty_name: Hengam Corpus
---

# Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging

See model at https://huggingface.co/kargaranamir/Hengam

See Demo at https://huggingface.co/spaces/kargaranamir/Hengam

Details at https://github.com/kargaranamir/hengam

## Citation

If you use any part of this repository in your research, please cite it using the following BibTex entry.
```python
@inproceedings{mirzababaei-etal-2022-hengam,
title = {Hengam: An Adversarially Trained Transformer for {P}ersian Temporal Tagging},
author = {Mirzababaei, Sajad and Kargaran, Amir Hossein and Sch{\"u}tze, Hinrich and Asgari, Ehsaneddin},
year = 2022,
booktitle = {Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing},
publisher = {Association for Computational Linguistics},
address = {Online only},
pages = {1013--1024},
url = {https://aclanthology.org/2022.aacl-main.74}
}
```

许可证：MIT许可证
语言：波斯语（fa）
正式名称：Hengam语料库

# Hengam：一款面向波斯语时间标注的对抗训练Transformer模型

模型访问地址：https://huggingface.co/kargaranamir/Hengam
演示地址：https://huggingface.co/spaces/kargaranamir/Hengam
详细信息地址：https://github.com/kargaranamir/hengam

## 引用说明

若您在研究中使用本仓库的任意内容，请通过以下BibTex条目进行引用：
python
@inproceedings{mirzababaei-etal-2022-hengam,
title = {Hengam: An Adversarially Trained Transformer for {P}ersian Temporal Tagging},
author = {Mirzababaei, Sajad and Kargaran, Amir Hossein and Sch{"u}tze, Hinrich and Asgari, Ehsaneddin},
year = 2022,
booktitle = {第二届亚太计算语言学协会年会暨第十二届国际自然语言处理联合会议论文集},
publisher = {Association for Computational Linguistics},
address = {仅线上举办},
pages = {1013--1024},
url = {https://aclanthology.org/2022.aacl-main.74}
}

原始信息汇总

数据集概述

数据集名称

• Hengam Corpus

数据集语言

• Persian (fa)

数据集许可证

• MIT License

数据集描述

• Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging

引用信息

• BibTex引用 python @inproceedings{mirzababaei-etal-2022-hengam, title = {Hengam: An Adversarially Trained Transformer for {P}ersian Temporal Tagging}, author = {Mirzababaei, Sajad and Kargaran, Amir Hossein and Sch{"u}tze, Hinrich and Asgari, Ehsaneddin}, year = 2022, booktitle = {Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing}, publisher = {Association for Computational Linguistics}, address = {Online only}, pages = {1013--1024}, url = {https://aclanthology.org/2022.aacl-main.74} }