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README.md
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## Citation
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If you use the model, please cite [this paper](https://doi.org/10.1109/ACCESS.2025.3544814):
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```
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@ARTICLE{10900365,
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pages={1-1},
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keywords={Data models;Annotations;Media;Manuals;Multilingual;Computational modeling;Training;Training data;Transformers;Text categorization;Multilingual text classification;IPTC;large language models;LLMs;news topic;topic classification;training data preparation;data annotation},
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doi={10.1109/ACCESS.2025.3544814}}
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```
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## Funding
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## Citation
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If you use the model, please cite [this paper](https://doi.org/10.1109/ACCESS.2025.3544814) and the model itself:
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```
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@ARTICLE{10900365,
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pages={1-1},
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keywords={Data models;Annotations;Media;Manuals;Multilingual;Computational modeling;Training;Training data;Transformers;Text categorization;Multilingual text classification;IPTC;large language models;LLMs;news topic;topic classification;training data preparation;data annotation},
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doi={10.1109/ACCESS.2025.3544814}}
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@misc{iptc_topic_model,
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author = { Kuzman Taja and Ljube{\v s}i{\'c}, Nikola },
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title = {{ Multilingual IPTC News Topic Classifier}},
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year = 2025,
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url = { https://huggingface.co/classla/multilingual-IPTC-news-topic-classifier },
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doi = { 10.57967/hf/4709 },
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publisher = { Hugging Face }
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}
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```
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## Funding
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