Tom Rietzke
2023
Mr-Fosdick at SemEval-2023 Task 5: Comparing Dataset Expansion Techniques for Non-Transformer and Transformer Models: Improving Model Performance through Data Augmentation
Christian Falkenberg
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Erik Schönwälder
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Tom Rietzke
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Chris-Andris Görner
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Robert Walther
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Julius Gonsior
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Anja Reusch
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
In supervised learning, a significant amount of data is essential. To achieve this, we generated and evaluated datasets based on a provided dataset using transformer and non-transformer models. By utilizing these generated datasets during the training of new models, we attain a higher balanced accuracy during validation compared to using only the original dataset.
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Co-authors
- Christian Falkenberg 1
- Erik Schönwälder 1
- Chris-Andris Görner 1
- Robert Walther 1
- Julius Gonsior 1
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