ConKgPrompt: Contrastive Sample Method Based on Knowledge-Guided Prompt Learning for Text Classification
Qian Wang,
Cheng Zeng,
Bing Li
et al.
Abstract:Text classification aims to classify text according to pre-defined categories. Despite the success of existing methods based on the fine-tuning paradigm, there is a significant gap between fine-tuning and pre-training. Currently, prompt learning methods can bring state of the art (SOTA) performance to pre-trained language models (PLMs) in text classification and transform a classification problem into a masked language modeling problem. The crucial step of prompt learning is to construct a map between original… Show more
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