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cs.CL2021
Understanding Model Robustness to User-generated Noisy Texts
Jakub Náplava, Martin Popel, Milan Straka +1
Sensitivity of deep-neural models to input noise is known to be a challenging problem. In NLP, model performance often deteriorates with naturally occurring noise, such as spelling…
cs.CL2021★ 37 cited
RobeCzech: Czech RoBERTa, a monolingual contextualized language representation model
Milan Straka, Jakub Náplava, Jana Straková +1
We present RobeCzech, a monolingual RoBERTa language representation model trained on Czech data. RoBERTa is a robustly optimized Transformer-based pretraining approach. We show tha…