学术会议论文新颖性测度研究——以计算机学科人工智能领域为例  

Novelty Measurement of Academic Conference Papers——Taking Artificial Intelligence Field of Computer Science as the Example

作　　者：秦岩 代君[1] 廖莹驰 QIN Yan;DAI Jun;LIAO Ying-chi(School of Information Management,Wuhan University,Wuhan 430072,China)

机构地区：[1]武汉大学信息管理学院,湖北武汉430072

出　　处：《情报科学》2021年第1期104-110,共7页Information Science

基　　金：国家社会科学基金项目“基于信息视域的跨学科协同信息行为与特征研究”(14BTQ068)。

摘　　要：【目的/意义】研究学术会议论文新颖性测度方法,为会议论文的新颖性评价提供新的视角。【方法/过程】本文设计吸收新颖性指标和产出新颖性指标测度方法,选择"人工智能"领域的会议论文进行实证研究。【结果/结论】具有高吸收新颖性水平和高产出新颖性水平的论文成为A类会议论文的几率最高,结果表明新颖性测度方法的有效性,对于会议论文的自动评审有一定的参考意义。【创新/局限】设计会议论文新颖性测度方法,促进会议论文评价的发展;只针对计算机的人工智能领域进行实证,具有一定的领域局限性。【Purpose/significance】This paper studies the measurement method of novelty of academic conference papers and provides a new perspective for the novelty evaluation of conference papers.【Method/process】This paper designs a method to measure absorption novelty index and output novelty index,and selects conference papers in the field of"artificial intelligence"for empirical research.【Result/conclusion】Papers with high absorption novelty and high output novelty have the highest probability of becoming A-type conference papers.The results show the effectiveness of the novelty measurement method,which has certain reference significance for the automatic review of conference papers.【Innovation/limitation】This paper designs the novelty measurement method of conference papers to promote the development of the evaluation of conference papers;But there are some domain limitations.

关 键 词：会议论文 产出新颖性 吸收新颖性 测度方法 论文评价 

分 类 号：G206.3[文化科学—传播学]