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Found 3 papers, 1 papers with code
Zero and Few-shot Learning for Author Profiling
We find that entailment-based models out-perform supervised text classifiers based on roberta-XLM and that we can reach 80% of the accuracy of previous approaches using less than 50\% of the training data on average.
Aspect On: an Interactive Solution for Post-Editing the Aspect Extraction based on Online Learning
Experimental results show that Aspect On dramatically reduces the number of user clicks and effort required to post-edit the aspects extracted by the model.
Neural Networks Classifier for Data Selection in Statistical Machine Translation
We address the data selection problem in statistical machine translation (SMT) as a classification task.
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