Assessing the Efficiency of Transformer Models with Varying Sizes for Text Classification: A Study of Rule-Based Annotation with DistilBERT and Other Transformers by Arafet Sbei, Khaoula ElBedoui, Walid Barhoumi

“…The proposed hybrid method offers a robust and adaptable solution for sentence annotation pipelines, enhancing performance in diverse natural language processing applications with limited labeled data. Code is available at https://github.com/arafet/Text-annotation-using-rule-based-method-and-Transformers.…”
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