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@@ -44,4 +44,6 @@ This is the [XLM-R-large model](https://huggingface.co/xlm-roberta-large) additi
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The model is a result of the [ParlaMint project](https://www.clarin.eu/parlamint). The details on the model development are described in the following publication (to be published soon):
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Michal Mochtak, Peter Rupnik, Nikola Ljubešić: The ParlaSent Multilingual Training Dataset for Sentiment Identification in Parliamentary Proceedings.
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The model is a result of the [ParlaMint project](https://www.clarin.eu/parlamint). The details on the model development are described in the following publication (to be published soon):
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The first application of this model is the [XLM-R-parlasent model](https://huggingface.co/classla/xlm-r-parlasent), fine-tuned on the [ParlaSent dataset](http://hdl.handle.net/11356/1868) for the task of sentiment analysis in parliamentary proceedings.
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Michal Mochtak, Peter Rupnik, Nikola Ljubešić: The ParlaSent Multilingual Training Dataset for Sentiment Identification in Parliamentary Proceedings.
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