信息资源管理学报2026，Vol.16Issue(2)：125-139,15.DOI:10.13365/j.jirm.2026.02.125
基于提示学习与多任务学习的学术文献引用意图识别研究
Identification of Citation Intent in Academic Literature Based on Prompt Learning with Multi-Task Learning
摘要
Abstract
The automatic identification of citation intentions in academic literature contributes to a deeper under-standing of academic paper content and facilitates the development of a more equitable framework for scientific re-search evaluation.To improve the accuracy and generalizability of citation intention recognition in low-resource sce-narios,this study proposes a novel framework that integrates prompt learning and multi-task learning,First,the main task of automatic citation intent recognition is jointly trained with two auxiliary tasks:citation value identification and citation section identification.All three tasks are unified within a P-tuning-based prompt learning framework.In this setup,discrete prompt tokens are first transformed into continuous vectors by a multi-layer perceptron.These vectors are then combined with the input text to form the input sequence,effectively converting the classification task into a cloze-style prediction.Furthermore,the label word set is expanded,and a weighted averaging method is applied to se-lect the label with the highest score as the final prediction.Finally,a soft parameter sharing mechanism is employed to achieve collaborative optimization across the three tasks for citation intent recognition.Experimental results on two publicly available datasets,ACL-ARC and SciCite,demonstrate that the proposed model significantly outperforms baseline and other prompt learning models under varying sample sizes.Additionally,the two auxiliary tasks effectively improve the accuracy and generalizability of citation intent recognition.关键词
引用意图识别/提示学习/多任务学习/文本分类/SciBERTKey words
Citation intent identification/Prompt learning/Multi-task learning/Text classification/SciBERT分类
信息技术与安全科学引用本文复制引用
张晓娟,郭佳润,王嘉辉,刘怡均..基于提示学习与多任务学习的学术文献引用意图识别研究[J].信息资源管理学报,2026,16(2):125-139,15.基金项目
本文系国家社会科学基金一般项目"时间感知的个性化学术文献引文推荐研究"(21BTQ072)的研究成果之一.(This paper is one of the research outcomes of the General Project of National Social Science Fund of China"Time-Aware Personalized Citation Recom-mendation for Academic Literature"(21BTQ072).) （21BTQ072）
