智能科学与技术学报2025，Vol.7Issue(3)：370-380,11.DOI:10.11959/j.issn.2096-6652.202530
基于E5-SHAP算法的可解释英语作文自动评分语言模型
An interpretable automated essay scoring model for English compositions based on SHAP algorithm
摘要
Abstract
In response to the lack of interpretability in English composition automatic scoring systems due to their reli-ance on complex deep learning models,an interpretable English composition automatic scoring model was proposed based on the E5-SHAP algorithm.This model was based on the E5 base model encoder to extract text features,combined with a mean calculation and a regression layer to achieve scoring output.It introduced an adaptive weighting mechanism to comprehensively evaluate the quality of compositions across six dimensions,including grammar,syntax,and vocabu-lary diversity.The model utilized LoRA fine-tuning technology to optimize specific layer parameters and enhance adapt-ability to compositional features.By using the SHAP algorithm to calculate the impact of each feature on the final score,a clear scoring basis and explanation path was provided to enhance the transparency and credibility of the scoring process.The experimental results show that compared with existing models,the performance of this model has been improved on both the ELLIPSE dataset and self-built dataset,with a quadratic weighted kappa value(QWK)of 0.84,which is superior to existing models in accuracy and interpretability.关键词
英语作文/自动评分模型/E5-SHAP算法/可解释性Key words
English composition/automated essay scoring/E5-SHAP algorithm/interpretability分类
信息技术与安全科学引用本文复制引用
王兵,单瑞雪,邢海燕,李盼池..基于E5-SHAP算法的可解释英语作文自动评分语言模型[J].智能科学与技术学报,2025,7(3):370-380,11.基金项目
黑龙江省自然科学基金联合引导项目(No.LH2024E012) （No.LH2024E012）
黑龙江省高等教育教学改革研究项目(No.SJGYB2024479)Heilongjiang Natural Science Foundation Joint Guidance Project(No.LH2024E012),Heilongjiang Province Higher Education Teaching Reform Research Project(No.SJGYB2024479) （No.SJGYB2024479）
