Using Citation Contexts for Identifying Meaningful References in Scholarly Papers

Abstract

Citation count is the most recognized metric for measuring the impact of scholarly papers. However, cited papers contribute to a citing paper in a variety of ways. In order to accurately measure the individual impact of cited papers, it is crucial to quantify their respective degree of contribution to a citing paper. This study proposes a method to automatically identify which papers are highly meaningful to a citing paper by extracting the description of a cited paper from a citing sentence for use in identifying meaningful references. Experimental results demonstrated the effectiveness of the extracted description.