Assessing the Efficiency of Transformer Models with Varying Sizes for Text Classification: A Study of Rule-Based Annotation with DistilBERT and Other Transformers
This study presents a comparative analysis of transformer models for text classification, utilizing a hybrid approach that integrates rule-based regular expressions with fine-tuned neural network models. Initially, regular expressions are employed to annotate sentences in a cost-effective manner, pr...
সংরক্ষণ করুন:
| প্রধান লেখক: | , , |
|---|---|
| বিন্যাস: | Artigo |
| ভাষা: | Inglês |
| প্রকাশিত: |
World Scientific Publishing
2025-08-01
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| মালা: | Vietnam Journal of Computer Science |
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://www.worldscientific.com/doi/10.1142/S2196888824500209 |
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