科技文献文本知识抽取的提示框架研究OA

[Purpose/Significance]At present,in the case of small samples,the knowledge extraction method for sci-entific literature based on large language models is widely used.The effectiveness of the model depends on the quality of the prompt word framework,so it is necessary to design a high-quality framework for scientific literature knowledge extrac-tion prompt words.[Method/Process]This study took the field of organic solar cells as an example and designs an automatic knowledge extraction system for the field of organic solar cells.This study designed an automatic knowledge extraction prompt word framework for scientific and technological literature,and conducted comparative experiments using different large models based on this framework.[Result/Conclusion]The experimental results demonstrate that,in the task of know-ledge extraction from journal literature in the field of organic solar cells,the method utilizing the prompt phrase framework proposed in this paper achieves superior performance compared to the conventional method of prompt phrase knowledge extraction.