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arXiv 1604.02580cs.IRcs.DL
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论科技论文摘要的写作

On the Composition of Scientific Abstracts

Iana Atanassova, Marc Bertin, Vincent Larivière

摘要:

科学摘要包含作者认为最能描述文件内容的信息。它们代表了文档信息内容的压缩视图,并允许读者评估文档与特定信息需求的相关性。然而,对其组成知之甚少。本文通过比较科技论文摘要与学术论文正文内容的相似性,有助于理解摘要的结构。更具体地说,使用基于数据的相似性度量,我们量化了摘要中文本重用的现象,并使用七种PLOS期刊上发表的超过85,000篇研究文章的语料库,在IMRaD结构(介绍,方法,结果和讨论)中检查与摘要中的句子相似的句子的位置。我们提供的证据表明,84%的摘要与文章正文至少有一个共同的句子。我们的研究结果还表明,论文中提取抽象句子的部分在PLOS期刊中是不变的,句子主要来自引言的开头和结论的结尾。

英文摘要:

Scientific abstracts contain what is considered by the author(s) as information that best describe documents' content. They represent a compressed view of the informational content of a document and allow readers to evaluate the relevance of the document to a particular information need. However, little is known on their composition. This paper contributes to the understanding of the structure of abstracts, by comparing similarity between scientific abstracts and the text content of research articles. More specifically, using sentence-based similarity metrics, we quantify the phenomenon of text re-use in abstracts and examine the positions of the sentences that are similar to sentences in abstracts in the IMRaD structure (Introduction, Methods, Results and Discussion), using a corpus of over 85,000 research articles published in the seven PLOS journals. We provide evidence that 84% of abstract have at least one sentence in common with the body of the article. Our results also show that the sections of the paper from which abstract sentence are taken are invariant across the PLOS journals, with sentences mainly coming from the beginning of the introduction and the end of the conclusion.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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