基于扩展索引项的文本重用度量方法研究

Eunji Lee, Htet Myet Lynn, Chang Choi, Hanil Kim, Pankoo Kim
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引用次数: 0

摘要

随着互联网和智能手机的普及,文本重用在信息内容数字化过程中变得尤为突出。与文本重用相关的问题是多种多样和复杂的,这些问题包括与文本插入、删除、替换和词序改变有关的问题。此外,为了检查具有许多源的文本中的重用性,必须有一种有效的方法在合理的时间内使用合理的资源进行检查。本文试图通过扩展索引词、扩大重复使用检查句的范围和循环词来提高文本重用度量的准确性,以解决由于替换相似术语而导致的重复使用句子未被检测到的问题。通过与现有复用检测方法的对比评价,证明了该方法的有效性。
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Study on a Text Reuse Measurement Method Using Expanded Index Term
Text reuse has become prominent in the process of information content digitalization owing to the popularization of the Internet and smartphones. Problems related to text reuse are various and complex, and these include problems related to text insertion, deletion, and replacement, and changing of word order. Moreover, in order to inspect reuse in texts with many sources, there must be an efficient method to inspect within a reasonable amount of time and using a reasonable amount of resources. This work is an attempt to improve accuracy of text reuse measurement by using expanded index terms, expanding the range of reused inspection sentences, and circularizing words in order to resolve the issue of undetected reused sentences that arise from the replacement of similar terms. The efficiency of the proposed method was proven through a comparative evaluation with the existing reuse inspection methods.
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