Domain Adaptation of Transformer-Based Models using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback

no code implementations • 12 Dec 2022 • Ahmad Idrissi-Yaghir, Henning Schäfer, Nadja Bauer, Christoph M. Friedrich

For the subtask Relevance Classification, the best models achieve a micro-averaged $F1$-Score of 96. 1 % on the first test set and 95. 9 % on the second one, and a score of 85. 1 % and 85. 3 % for the subtask Polarity Classification.

Domain Adaptation Sentiment Analysis +2