RobBERT: Dutch RoBERTa based Language Model. RobBERT is the state of the art Dutch BERT model. It is a large pre trained general Dutch language model that can be fine tuned on a given dataset to perform any text classification, regression or token tagging task. As such, it has been successfully used by many researchers and practitioners for achieving state of the art performance for a wide range of Dutch natural language processing tasks, including: Emotion detection Sentiment analysis (book reviews, news articles ) Coreference resolution Named entity recognition (CoNLL, job titles , SoNaR) Part of speech tagging (Small UD Lassy, CGN) Zero shot word prediction Humor detection Cyberbulling detection Correcting dt spelling mistakes and also achieved outstanding, near sota results for: Natural language inference Review classification \\ Note that several evaluations use RobBERT v1, and that the second and improved RobBERT v2 outperforms this first model on everything we tested (Also note that this list is not exhaustive. If you used RobBERT for your application, we are happy to know about it! Send us a mail, or add it yourself to this list by sending a pull request with the edit!) Mor…
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