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Datasets:
kargaranamir
/
HengamCorpus

Modalities:
Text
Formats:
text
Languages:
Persian
Size:
10M - 100M
Libraries:
Datasets
License:
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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.

@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}
}
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