Proper citation is of great importance in academic writing for it enables knowledge accumulation and maintains academic integrity. However, citing properly is not an easy task. For published scientific entities, the ever-growing academic publications and over-familiarity of terms easily lead to missing citations. To deal with this situation, we design a special method Citation Recommendation for Published Scientific Entity (CRPSE) based on the cooccurrences between published scientific entities and in-text citations in the same sentences from previous researchers. Experimental outcomes show the effectiveness of our method in recommending the source papers for published scientific entities. We further conduct a statistical analysis on missing citations among papers published in prestigious computer science conferences in 2020. In the 12,278 papers collected, 475 published scientific entities of computer science and mathematics are found to have missing citations. Many entities mentioned without citations are found to be well-accepted research results. On a median basis, the papers proposing these published scientific entities with missing citations were published 8 years ago, which can be considered the time frame for a published scientific entity to develop into a well-accepted concept. For published scientific entities, we appeal for accurate and full citation of their source papers as required by academic standards.
翻译:适当引用在学术著作中非常重要,因为它有助于知识积累并保持学术完整性。然而,适当引用并非易事。对于出版的科学实体来说,不断增长的学术出版物和过于美化的术语很容易导致引文缺失。为了应对这种情况,我们根据已出版的科学实体之间的相互勾结以及前研究人员在同一句子中的文字引用,为出版科学实体设计了一种特殊方法,即出版科学实体的引用建议。实验结果表明我们推荐出版科学实体原始文件的方法的有效性。我们进一步对在2020年著名的计算机科学会议上发表的论文中的缺失引文进行了统计分析。在所收集的12 278篇论文中,发现有475个计算机科学和数学的已出版科学实体丢失引文。许多未经引用而提及的实体被认为是公认的研究成果。在中位的基础上,8年前出版了关于这些已出版的科学实体引文缺失的科学实体的论文,可视为出版科学实体发展为公认概念的时限。对于已出版的科学实体来说,我们呼吁按照学术标准的要求准确和全面引用其原始文件。