Citation Analysis of Research Articles (CARA)

B. Butt, Daniyal Faquih, Muhammad Hammad, Saad Nasir
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引用次数: 0

Abstract

In a research paper multiple citations and authors opinion about them are mentioned. Our primary focus is to identify which opinion is given on which citation and secondly to identify the exact sentence due to which citation has occurred in the citing paper. We have worked on two parallel approaches one is sentence level similarity, in which we try identifying the sentence(s) due to which citation has occurred. Other approach is article level similarity in which we identify the citation category and map anchor text to its citing article. We are able to show that an automated system can be created for identifying whether a sentence (without citation mark) is part of the citation text. In future we wish to extend this work with larger corpus and more sophisticated techniques.
研究论文被引分析(CARA)
在一篇研究论文中提到了多次引用和作者对它们的看法。我们的主要重点是确定哪个观点是针对哪个引文给出的,其次是确定引用论文中哪个引文出现的确切句子。我们研究了两种平行的方法,一种是句子级别的相似度,在这种方法中,我们尝试识别由于引用而发生的句子。另一种方法是文章级相似度,其中我们确定引用类别并将锚文本映射到其引用文章。我们能够证明可以创建一个自动化系统来识别句子(没有引用标记)是否属于引用文本的一部分。在未来,我们希望用更大的语料库和更复杂的技术来扩展这项工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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