
# 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}
}
```


language:fa license:mit region:us
{"language": ["fa"], "license": "mit", "pretty_name": "Hengam Corpus"}
TAGS
#language-Persian #license-mit #region-us 


# Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging

See model at URL

See Demo at URL

Details at URL

If you use any part of this repository in your research, please cite it using the following BibTex entry.



# Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging

See model at URL

See Demo at URL

Details at URL

If you use any part of this repository in your research, please cite it using the following BibTex entry.
TAGS
#language-Persian #license-mit #region-us 
 # Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging

See model at URL

See Demo at URL

Details at URL

If you use any part of this repository in your research, please cite it using the following BibTex entry.