TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis.
Juraj VladikaStephen MeisenbacherFlorian MatthesPublished in: GermEval@KONVENS (2022)
Keyphrases
- gaussian processes
- hybrid model
- complexity analysis
- fine tuned
- gaussian process
- artificial neural networks
- gaussian process regression
- fine tuning
- covariance function
- theoretical analysis
- hybrid models
- first order logic
- lower bound
- support vector regression
- computational complexity
- multi task
- support vector machine svm
- text mining
- domain specific
- support vector machine
- gaussian process models
- genetic algorithm
- hyperparameters
- general purpose
- image processing
- learning algorithm