• Journal of the Korea Society of Computer and Information
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• v.21 no.11
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• pp.85-91
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• 2016

This paper proposes a collective approach to cited text recognition by exploiting a set of citing text from different articles citing the same article. First, the proposed method gathers highly-ranked cited sentences from the cited article using a group of citing text to create a collective information of probable cited sentences. Then, such collective information is used to determine final cited sentences among highly-ranked sentences from similarity-based cited text recognition. Experiments have been conducted on the data set which consists of research articles from a computational linguistics domain. Evaluation results showed that the proposed method could improve the performance of similarity-based baseline approaches.

• Journal of the Korea Society of Computer and Information
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• v.22 no.9
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• pp.17-24
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• 2017

Core citation recognition is to identify influential ones among the prior articles that a scholarly article cite. Previous approaches have employed citing-text occurrence information, textual similarities between citing and cited article, etc. This study proposes a term-based approach to core citation recognition, which exploits the importance of individual terms appearing in in-text citation to calculate influence-strength for each cited article. Term importance is computed using various frequency information such as term frequency(tf) in in-text citation, tf in the citing article, inverse sentence frequency in the citing article, inverse document frequency in a collection of articles. Experiments using a previous test set consisting of computational linguistics articles show that the term-based approach performs comparably with the previous approaches. The proposed technique could be easily extended by employing other term units such as n-grams and phrases, or by using new term-importance formulae.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.43-60
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• 2012

Identifying citing sentences from article full-text is a prerequisite for creating a variety of future academic information services such as citation-based automatic summarization, automatic generation of review articles, sentiment analysis of citing statements, information retrieval based on citation contexts, etc. However, finding citing sentences is not easy due to the existence of implicit citing sentences which do not have explicit citation markers. While several methods have been proposed to attack this problem for English, it is difficult to find such automatic methods for Korean academic literature. This article presents a rule-based approach to identifying Korean citing sentences. Experiments show that the proposed method could find 30% of implicit citing sentences in our test data in nearly 70% precision.

• Journal of the Korea Society of Computer and Information
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• v.24 no.7
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• pp.31-37
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• 2019

Citation-based article summarization is to create a shortened text for an academic article, reflecting the content of citing sentences which contain other's thoughts about the target article to be summarized. To deal with the problem, this study introduces an extractive summarization method based on calculating a linear combination of various sentence salience scores, which represent the degrees to which a candidate sentence reflects the content of author's abstract text, reader's citing text, and the target article to be summarized. In the current study, salience scores are obtained by computing surface-level textual similarities. Experiments using CL-SciSumm datasets show that the proposed method parallels or outperforms the previous approaches in ROUGE evaluations against SciSumm-2017 human summaries and SciSumm-2016/2017 community summaries.

• The Journal of Korean Medical History
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• v.21 no.1
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• pp.83-88
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• 2008

Jejoongshinpyeon was published in 1799 by 康命吉 upon receiving orders from the king. This book is a critical accedence of Treasured Mirror of Oriental Medicine and aims to enunciate summarized medical knowledge. Through examining citation methods in Jejoongshinpyeon, the following conclusions could be reached: First, citation methods displayed in Jejoongshinpyeon is largely based on Treasured Mirror of Oriental Medicine. Second, the specific method of citing Treasured Mirror of Oriental Medicine involves collecting and describing annotations from different titles.. Third, Jejoongshinpyeon cites other medical texts by making additions to symptoms or prescriptions not included in Dongeuibogam.

• Journal of Distribution Science
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• v.13 no.4
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• pp.5-8
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• 2015

Purpose - The purpose of this paper is to review, analyze, and learn from the most recent cases of plagiarism and to identify and promote ethical practices in research and publication. Research design, data, and methodology - This is a case study, an analytical approach, which focuses on analyzing the most recent cases of plagiarism to identify ethical issues and concerns in journal publication practices. Results - Despite the availability of many software and web-based applications and programs to detect plagiarism, there is no universal or perfect plagiarism detection application available to ease the editorial responsibility. Lack of understanding the concept and ignorance of plagiarism were the main reasons for the cases of plagiarism. Conclusions - Some of the plagiarism cases reveal a lack of knowledge in proper application of in-text citations and references, including quoting, requiting, paraphrasing, and citing sources, etc. Furthermore, the need for recognizing and considering the distorted and falsified primary and secondary research data as plagiarism is essential to enhance ethical practices in journal publication.

• The Journal of Korean Medical History
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• v.17 no.2
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• pp.145-169
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• 2004

This study elucidates the extra-medical citing relationship of DongUiBoGam (東醫寶鑑)'s Acupuncture&Moxibustion Chapter(ChimGu鍼灸 篇) and Acupuncture&Moxibustion Methods Chapter(ChimGu鍼灸法 篇), and based on this, tried to clarify the characteristics of the intra-medical DongUiBoGam(東醫寶鑑)'s Acupuncture&Moxibustion treatment methods. This paper is the second research result on this kind of study, and it historically investigated the original text related to Acupuncture&Moxibustion treatments in DongUiBoGam(東醫寶鑑)'s OeHyeong Chapter(外形 篇). Through this, we can see that at the time DongUiBoGam(東醫寶鑑) was compiled, UiHakGangMok(醫學綱目)'s Acupuncture&Moxibustion treatments were considered the most complete.