面向自动综述系统的文献价值评估研究

doi:10.3772/j.issn.1000-0135.2022.11.008

情报学报

2022, Vol. 41

Issue (11): 1199-1214 DOI: 10.3772/j.issn.1000-0135.2022.11.008

情报技术与应用

本期目录 | 过刊浏览 | 高级检索

面向自动综述系统的文献价值评估研究

丁恒, 阮靖龙

华中师范大学信息管理学院，武汉 430079

Towards Automatic Literature Review Generation System: Research on Document Value Assessment

Ding Heng, Ruan Jinglong

School of Information Management, Central China Normal University, Wuhan 430079

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摘要 “论文爆炸”使科研人员面临严重的信息过载问题，自动综述系统研究逐渐引起重视，而如何自动挑选出能够反映知识脉络发展的重要文献是自动综述系统需要解决的首要问题。本文从影响综述作者选择参考文献的因素出发，在引用行为中挖掘综述作者评估文献价值的规律，并基于排序学习框架构建面向自动综述系统的文献评估模型。本文以微软学术图谱为数据源构建实验数据集，通过ΔP@K和NDCG@K两个指标对实验结果进行评价。研究结果表明，①相较于单文档模型和文档列表模型，文档对模型更适合于训练最优文献评估模型，其ΔP@100、ΔP@200、NDCG@100和NDCG@200分为0.274、0.085、0.738、0.831；②知识重要性和文献质量与影响力因素对模型效果提升有较大贡献，是综述作者评估文献价值选择参考文献的首要参考因素。

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	丁恒
	阮靖龙

关键词 ：自动综述, 文献评估, 多维特征, 排序学习

收稿日期: 2021-10-11

作者简介: 丁恒，男，1988年生，博士，讲师，硕士生导师，主要研究领域为信息检索、文本挖掘、人工智能，E-mail：hengding@ccnu.edu.cn；阮靖龙，男，1997年生，硕士研究生，主要研究领域为自然语言处理；

引用本文:

丁恒, 阮靖龙. 面向自动综述系统的文献价值评估研究[J]. 情报学报, 2022, 41(11): 1199-1214.
Ding Heng, Ruan Jinglong. Towards Automatic Literature Review Generation System: Research on Document Value Assessment. 情报学报, 2022, 41(11): 1199-1214.

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https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2022.11.008 或 https://qbxb.istic.ac.cn/CN/Y2022/V41/I11/1199

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