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--- |
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license: mit |
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language: |
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- fa |
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pretty_name: Hengam Corpus |
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--- |
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# Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging |
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See model at https://huggingface.co/kargaranamir/Hengam |
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See Demo at https://huggingface.co/spaces/kargaranamir/Hengam |
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Details at https://github.com/kargaranamir/hengam |
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## Citation |
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If you use any part of this repository in your research, please cite it using the following BibTex entry. |
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```python |
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@inproceedings{mirzababaei-etal-2022-hengam, |
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title = {Hengam: An Adversarially Trained Transformer for {P}ersian Temporal Tagging}, |
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author = {Mirzababaei, Sajad and Kargaran, Amir Hossein and Sch{\"u}tze, Hinrich and Asgari, Ehsaneddin}, |
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year = 2022, |
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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}, |
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publisher = {Association for Computational Linguistics}, |
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address = {Online only}, |
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pages = {1013--1024}, |
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url = {https://aclanthology.org/2022.aacl-main.74} |
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} |
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``` |
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