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  # Multilingual parliament model XLM-R-Parla
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- This pre-trained model is a result of the ParlaMint project. The details on the models and the datasets used 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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  # Multilingual parliament model XLM-R-Parla
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+ This is the XLM-R-large model additionally pre-trained on texts of parliamentary proceedings. Texts for the additional pre-training come from the [ParlaMint corpus](http://hdl.handle.net/11356/1486) and the [EuroParl corpus](https://www.statmt.org/europarl/).
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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.