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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,
@@ -335,6 +335,15 @@ If you use the model, please cite [this paper](https://doi.org/10.1109/ACCESS.20
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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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+
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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