Jun 6, 2022 · Our more thorough evaluation shows that, contrary to previous studies, discriminative models can still outperform generative models in almost all settings.
Discriminative Models Can Still Outperform Generative Models in Aspect. Based Sentiment Analysis. Anonymous ACL submission. Abstract. Aspect-based Sentiment ...
Our results demonstrate that discriminative models can still perform better than generative models in a few cases.
Table 5: Cross-domain and cross-lingual F1 scores. Bolded results are the best per model and test language, when more than 1 train language to compare.
Our more thorough evaluation shows that, contrary to previous studies, discriminative models can still outperform generative models in almost all settings.
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Previous results showed that generative models outperform discriminative models on several English ABSA datasets. Paper · Add Code ...
Previous results showed that generative models outperform discriminative models on several English ABSA datasets. Paper · Add Code ...
The models achieved high accuracy (92% for BERT and 91% for T5), showing their effectiveness in detecting sentiments from customer reviews. Another paper titled ...
Feb 28, 2024 · Discriminative models are preferred for tasks where precise predictions are needed. Generative models are useful for tasks requiring data ...
Discriminative Models Can Still Outperform Generative Models in Aspect Based Sentiment Analysis. Dhruv Mullick, Alona Fyshe, Bilal Ghanem. Jul 11 2023. cs.CL.